Semantic Analysis: What Is It, How & Where To Works

Deciphering Meaning: An Introduction to Semantic Text Analysis

semantic analysis of text

In today’s data-driven world, the ability to interpret complex textual information has become invaluable. Semantic Text Analysis presents a variety of practical applications that are reshaping industries and academic pursuits alike. From enhancing Business Intelligence to refining Semantic Search capabilities, the impact of this advanced interpretative approach is far-reaching and continues to grow. To navigate these complexities, your understanding of the landscape of semantic analysis must include an appreciation for its nuances and an awareness of its limitations. Engaging with the ongoing progress in this discipline will better equip you to leverage semantic insights, mindful of their inherent subtleties and the advances still on the horizon.

semantic analysis of text

By analyzing customer reviews, social media conversations, and online forums, businesses can identify emerging market trends, monitor competitor activities, and gain a deeper understanding of customer preferences. These insights help organizations develop targeted marketing strategies, identify new business opportunities, and stay competitive in dynamic market environments. By examining the dictionary definitions and the relationships between words in a sentence, computers can derive insights into the context and extract valuable information. NLP algorithms play a vital role in semantic analysis by processing and analyzing linguistic data, defining relevant features and parameters, and representing the semantic layers of the processed information. Through semantic analysis, computers can go beyond mere word matching and delve into the underlying concepts and ideas expressed in text.

Semantic analysis (linguistics)

This practice, known as “social listening,” involves gauging user satisfaction or dissatisfaction through social media channels. Indeed, discovering a chatbot capable of understanding emotional intent or a voice bot’s discerning tone might seem like a sci-fi concept. Semantic analysis, the engine behind these advancements, dives into the meaning embedded in the text, unraveling emotional nuances and intended messages. As we discussed, the most important task of semantic analysis is to find the proper meaning of the sentence.

To achieve this level of understanding, semantic analysis relies on various techniques and algorithms. The overall results of the study were that semantics is paramount in processing natural languages and aid in machine learning. This study also highlights the weakness and the limitations of the study in the discussion (Sect. 4) and results (Sect. 5).

Semantic analysis forms the backbone of many NLP tasks, enabling machines to understand and process language more effectively, leading to improved machine translation, sentiment analysis, etc. By leveraging this powerful technology, companies can gain valuable customer insights, enhance company performance, and optimize their SEO strategies. In the ever-expanding era of textual information, it is important for organizations to draw insights from such data to fuel businesses. Semantic Analysis helps machines interpret the meaning of texts and extract useful information, thus providing invaluable data while reducing manual efforts. What sets semantic analysis apart from other technologies is that it focuses more on how pieces of data work together instead of just focusing solely on the data as singular words strung together. Understanding the human context of words, phrases, and sentences gives your company the ability to build its database, allowing you to access more information and make informed decisions.

It helps businesses gain customer insights by processing customer queries, analyzing feedback, or satisfaction surveys. Semantic analysis also enhances company performance by automating tasks, allowing employees to focus on critical inquiries. It can also fine-tune SEO strategies by understanding users’ searches and delivering optimized content. Semantic analysis has revolutionized market research by enabling organizations to analyze and extract valuable insights from vast amounts of unstructured data.

By doing so, they significantly reduce the time users spend sifting through irrelevant information, thereby streamlining the search process. Sentiment Analysis is a critical method used to decode the emotional tone behind words in a text. By analyzing customer reviews or social media commentary, businesses can gauge public opinion about their services or products. This understanding allows companies to tailor their strategies to meet customer expectations and improve their overall experience.

  • Chatbots, virtual assistants, and recommendation systems benefit from semantic analysis by providing more accurate and context-aware responses, thus significantly improving user satisfaction.
  • Using machine learning with natural language processing enhances a machine’s ability to decipher what the text is trying to convey.
  • By understanding the intent behind user queries, businesses can create optimized content that aligns with user expectations and improves search engine rankings.
  • This enables businesses to better understand customer needs, tailor their offerings, and provide personalized support.
  • Semantic analysis stands as the cornerstone in navigating the complexities of unstructured data, revolutionizing how computer science approaches language comprehension.

Together, these technologies forge a potent combination, empowering you to dissect and interpret complex information seamlessly. Whether you’re looking to bolster business intelligence, enrich research findings, or enhance customer engagement, these core components of Semantic Text Analysis offer a strategic advantage. Latent semantic analysis (sometimes latent semantic indexing), is a class of techniques where documents are represented as vectors in term space. Besides, Semantics Analysis is also widely employed to facilitate the processes of automated answering systems such as chatbots – that answer user queries without any human interventions. QuestionPro, a survey and research platform, might have certain features or functionalities that could complement or support the semantic analysis process. Uber strategically analyzes user sentiments by closely monitoring social networks when rolling out new app versions.

What are the top applications of semantic analysis in 2022?

Your grasp of the Semantic Analysis Process can significantly elevate the caliber of insights derived from your text data. By following these steps, you array yourself with the capacity to harness the true power of words in a sea of digital information, making semantic analysis an invaluable asset in any data-driven strategy. While, as humans, it is pretty simple for us to understand the meaning of textual information, semantic analysis of text it is not so in the case of machines. Thus, machines tend to represent the text in specific formats in order to interpret its meaning. This formal structure that is used to understand the meaning of a text is called meaning representation. If you decide to work as a natural language processing engineer, you can expect to earn an average annual salary of $122,734, according to January 2024 data from Glassdoor [1].

Semantic analysis allows computers to interpret the correct context of words or phrases with multiple meanings, which is vital for the accuracy of text-based NLP applications. Essentially, rather than simply analyzing data, this technology goes a step further and identifies the relationships between bits of data. Because of this ability, semantic analysis can help you to make sense of vast amounts of information and apply it in the real world, making your business decisions more effective.

Semantic analysis plays a crucial role in various fields, including artificial intelligence (AI), natural language processing (NLP), and cognitive computing. It allows machines to comprehend the nuances of human language and make informed decisions based on the extracted information. By analyzing the relationships between words, semantic analysis enables systems to understand the intended meaning of a sentence and provide accurate responses or actions. Semantic analysis refers to the process of understanding and extracting meaning from natural language or text.

Using a low-code UI, you can create models to automatically analyze your text for semantics and perform techniques like sentiment and topic analysis, or keyword extraction, in just a few simple steps. The concept of Semantic IoT Integration proposes a deeply interconnected network of devices that can communicate with one another in more meaningful ways. Semantic analysis will be critical in interpreting the vast amounts of unstructured data generated by IoT devices, turning it into valuable, actionable insights. Imagine smart homes and cities where devices not only collect data but understand and predict patterns in energy usage, traffic flows, and even human behaviors. With the evolution of Semantic Search engines, user experience on the web has been substantially improved. Search algorithms now prioritize understanding the intrinsic intent behind user queries, delivering more accurate and contextually relevant results.

Both semantic and sentiment analysis are valuable techniques used for NLP, a technology within the field of AI that allows computers to interpret and understand words and phrases like humans. Semantic analysis uses the context of the text to attribute the correct meaning to a word with several meanings. You can foun additiona information about ai customer service and artificial intelligence and NLP. On the other hand, Sentiment analysis determines the subjective qualities of the text, such as feelings of positivity, negativity, or indifference. This information can help your business learn more about customers’ feedback and emotional experiences, which can assist you in making improvements to your product or service.

Semantic analysis helps identify search patterns, user preferences, and emerging trends, enabling companies to generate high-quality, targeted content that attracts more organic traffic to their websites. By analyzing the dictionary definitions and relationships between words, computers can better understand the context in which words are used. The Development of Semantic Models is an ever-evolving process aimed at refining the accuracy and efficacy with which complex textual data is analyzed. By harnessing the power of machine learning and artificial intelligence, researchers and developers are working tirelessly to advance the subtlety and range of semantic analysis tools. In AI and machine learning, semantic analysis helps in feature extraction, sentiment analysis, and understanding relationships in data, which enhances the performance of models.

Academic Research in Text Analysis has moved beyond traditional methodologies and now regularly incorporates semantic techniques to deal with large datasets. Named Entity Recognition (NER) is a technique that reads through text and identifies key elements, classifying them into predetermined categories such as person names, organizations, locations, and more. NER helps in extracting structured information from unstructured text, facilitating data analysis in fields ranging from journalism to legal case management. Firstly, the destination for any Semantic Analysis Process is to harvest text data from various sources. This data could range from social media posts and customer reviews to academic articles and technical documents.

With the help of meaning representation, we can link linguistic elements to non-linguistic elements. In other words, we can say that polysemy has the same spelling but different and related meanings. I hope after reading that article you can understand the power of NLP in Artificial Intelligence. So, in this part of this series, we will start our discussion on Semantic analysis, which is a level of the NLP tasks, and see all the important terminologies or concepts in this analysis. Likewise, the word ‘rock’ may mean ‘a stone‘ or ‘a genre of music‘ – hence, the accurate meaning of the word is highly dependent upon its context and usage in the text. Insights derived from data also help teams detect areas of improvement and make better decisions.

AI researchers focus on advancing the state-of-the-art in semantic analysis and related fields. These career paths provide professionals with the opportunity to contribute to the development of innovative AI solutions and unlock the potential of textual data. Understanding user intent and optimizing search engine optimization (SEO) strategies is crucial for businesses to drive organic traffic to their websites.

Sentiment analysis of video danmakus based on MIBE-RoBERTa-FF-BiLSTM Scientific Reports –

Sentiment analysis of video danmakus based on MIBE-RoBERTa-FF-BiLSTM Scientific Reports.

Posted: Sat, 09 Mar 2024 08:00:00 GMT [source]

It begins with raw text data, which encounters a series of sophisticated processes before revealing valuable insights. If you’re ready to leverage the power of semantic analysis in your projects, understanding the workflow is pivotal. Let’s walk you through the integral steps to transform unstructured text into structured wisdom.

The amount and types of information can make it difficult for your company to obtain the knowledge you need to help the business run efficiently, so it is important to know how to use semantic analysis and why. Using semantic analysis to acquire structured information can help you shape your business’s future, especially in customer service. In this field, semantic analysis allows options for faster responses, leading to faster resolutions for problems. MonkeyLearn makes it simple for you to get started with automated semantic analysis tools.

Essentially, in this position, you would translate human language into a format a machine can understand. Semantic analysis stands as the cornerstone in navigating the complexities of unstructured data, revolutionizing how computer science approaches language comprehension. Its prowess in both lexical semantics and syntactic analysis enables the extraction of invaluable insights from diverse sources. The top five applications of semantic analysis in 2022 include customer service, company performance improvement, SEO strategy optimization, sentiment analysis, and search engine relevance. Machine learning algorithms are also instrumental in achieving accurate semantic analysis.

The intricacies of human language mean that texts often contain a level of ambiguity and subtle nuance that machines find difficult to decipher. A single sentence may carry multiple meanings or rely on cultural contexts and unwritten connotations to convey its true intent. Strides in semantic technology have begun to address these issues, yet capturing the full spectrum of human communication remains an ongoing quest.

semantic analysis of text

Semantic analysis can provide valuable insights into user searches by analyzing the context and meaning behind keywords and phrases. By understanding the intent behind user queries, businesses can create optimized content that aligns with user expectations and improves search engine rankings. This targeted approach to SEO can significantly boost website visibility, organic traffic, and conversion rates.

How does semantic analysis work?

By automating repetitive tasks such as data extraction, categorization, and analysis, organizations can streamline operations and allocate resources more efficiently. Semantic analysis also helps identify emerging trends, monitor market sentiments, and analyze competitor strategies. These insights allow businesses to make data-driven decisions, optimize processes, and stay ahead in the competitive landscape. If you’re interested in a career that involves semantic analysis, working as a natural language processing engineer is a good choice.

semantic analysis of text

As you stand on the brink of this analytical revolution, it is essential to recognize the prowess you now hold with these tools and techniques at your disposal. Mastering these can be transformative, nurturing an ecosystem where Significance of Semantic Insights becomes an empowering agent for innovation and strategic development. The landscape of text analysis is poised for transformative growth, driven by advancements in Natural Language Understanding and the integration of semantic capabilities with burgeoning technologies like the IoT. As we look towards the future, it’s evident that the growth of these disciplines will redefine how we interact with and leverage the vast quantities of data at our disposal. By integrating Semantic Text Analysis into their core operations, businesses, search engines, and academic institutions are all able to make sense of the torrent of textual information at their fingertips. This not only facilitates smarter decision-making, but it also ushers in a new era of efficiency and discovery.

It involves analyzing the context, emotions, and sentiments to derive insights from unstructured data. By studying the grammatical format of sentences and the arrangement of words, semantic analysis provides computers and systems with the ability to understand and interpret language at a deeper level. Semantic analysis is a process that involves comprehending the meaning and context of language. It allows computers and systems to understand and interpret human language at a deeper level, enabling them to provide more accurate and relevant responses.

Word Sense Disambiguation involves interpreting the meaning of a word based upon the context of its occurrence in a text. Semantic analysis offers your business many benefits when it comes to utilizing artificial intelligence (AI). Semantic analysis aims to offer the best digital experience possible when interacting with technology as if it were human. This includes organizing information and eliminating repetitive information, which provides you and your business with more time to form new ideas. It’s an essential sub-task of Natural Language Processing (NLP) and the driving force behind machine learning tools like chatbots, search engines, and text analysis.

The Semantic Analysis Summary serves as a lighthouse, guiding us to the significance of semantic insights across diverse platforms and enterprises. Business Intelligence has been significantly elevated through the adoption of Semantic Text Analysis. Companies can now sift through vast amounts of unstructured data from market research, customer feedback, and social media interactions to extract actionable insights. This not only informs strategic decisions but also enables a more agile response to market trends and consumer needs.

semantic analysis of text

Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals. Semantic analysis also takes into account signs and symbols (semiotics) and collocations (words that often go together).

Career opportunities in semantic analysis include roles such as NLP engineers, data scientists, and AI researchers. NLP engineers specialize in developing algorithms for semantic analysis and natural language processing. Data scientists skilled in semantic analysis help organizations extract valuable insights from textual data. AI researchers focus on advancing the state-of-the-art in semantic analysis and related fields by developing new algorithms and techniques. Semantic analysis helps businesses gain a deeper understanding of their customers by analyzing customer queries, feedback, and satisfaction surveys. By extracting context, emotions, and sentiments from customer interactions, businesses can identify patterns and trends that provide valuable insights into customer preferences, needs, and pain points.

QuestionPro often includes text analytics features that perform sentiment analysis on open-ended survey responses. While not a full-fledged semantic analysis tool, it can help understand the general sentiment (positive, negative, neutral) expressed within the text. Semantic analysis systems are used by more than just B2B and B2C companies to improve the customer experience.

Top 15 sentiment analysis tools to consider in 2024 – Sprout Social

Top 15 sentiment analysis tools to consider in 2024.

Posted: Tue, 16 Jan 2024 08:00:00 GMT [source]

Usually, relationships involve two or more entities such as names of people, places, company names, etc. Lexical analysis is based on smaller tokens but on the contrary, the semantic analysis focuses on larger chunks. This convergence of Semantic IoT heralds Chat PG a new age of smart environments, where decision-making is data-driven and context-aware. It ensures a level of precision and personalization in automated systems, ultimately leading to enhanced efficiency, comfort, and safety within our daily lives.

It is a crucial component of Natural Language Processing (NLP) and the inspiration for applications like chatbots, search engines, and text analysis tools using machine learning. But before deep dive into the concept and approaches related to meaning representation, firstly we have to understand the building blocks of the semantic system. Therefore, in semantic analysis with machine learning, computers use Word Sense Disambiguation to determine which meaning is correct in the given context. The Natural Language Understanding Evolution is an exciting frontier in the realm of text analytics, with implications that span across various sectors from healthcare to customer service. Innovations in machine learning and cognitive computing are leading to NLP systems with greater sophistication—ones that can understand context, colloquialisms, and even complex emotional nuances within language.

  • Semantic analysis helps identify search patterns, user preferences, and emerging trends, enabling companies to generate high-quality, targeted content that attracts more organic traffic to their websites.
  • It helps businesses gain customer insights by processing customer queries, analyzing feedback, or satisfaction surveys.
  • By venturing into Semantic Text Analysis, you’re taking the first step towards unlocking the full potential of language in an age shaped by big data and artificial intelligence.

Semantic analysis offers several benefits, including gaining customer insights, boosting company performance, and fine-tuning SEO strategies. It helps organizations understand customer queries, analyze feedback, and improve the overall customer experience by factoring in language tone, emotions, and sentiments. By automating certain tasks, semantic analysis enhances company performance and allows employees to focus on critical inquiries. Additionally, by optimizing SEO strategies through semantic analysis, organizations can improve search engine result relevance and drive more traffic to their websites. It incorporates techniques such as lexical semantics and machine learning algorithms to achieve a deeper understanding of human language. By leveraging these techniques, semantic analysis enhances language comprehension and empowers AI systems to provide more accurate and context-aware responses.

In semantic analysis with machine learning, computers use word sense disambiguation to determine which meaning is correct in the given context. Beyond just understanding words, it deciphers complex customer inquiries, unraveling the intent behind user searches and guiding customer service teams towards more effective responses. These career paths offer immense potential for professionals passionate about the intersection of AI and language understanding. With the growing demand for semantic analysis expertise, individuals in these roles have the opportunity to shape the future of AI applications and contribute to transforming industries. The advancements we anticipate in semantic text analysis will challenge us to embrace change and continuously refine our interaction with technology. They outline a future where the breadth of semantic understanding matches the depths of human communication, paving the way for limitless explorations into the vast digital expanse of text and beyond.

Semantic analysis allows for a deeper understanding of user preferences, enabling personalized recommendations in e-commerce, content curation, and more. This technique is used separately or can be used along with one of the above methods to gain more valuable insights. We can any of the below two semantic analysis techniques depending on the type of information you would like to obtain from the given data. Now, we have a brief idea of meaning representation that shows how to put together the building blocks of semantic systems. In other words, it shows how to put together entities, concepts, relations, and predicates to describe a situation.

The relevance and industry impact of semantic analysis make it an exciting area of expertise for individuals seeking to be part of the AI revolution. It involves the use of lexical semantics to understand the relationships between words and machine learning algorithms to process and analyze data and define features based on linguistic formalism. One of the key advantages of semantic analysis is its ability to provide deep customer insights.

semantic analysis of text

In Sentiment analysis, our aim is to detect the emotions as positive, negative, or neutral in a text to denote urgency. In that case, it becomes an example of a homonym, as the meanings are unrelated to each other. In the above sentence, the speaker is talking either about Lord Ram or about a person whose name is Ram. Ultimately, the burgeoning field of Semantic Technology continues to advance, bringing forward enhanced capabilities for professionals to harness. These Semantic Analysis Tools are not just technological marvels but partners in your analytical quests, assisting in transforming unstructured text into structured knowledge, one byte at a time.

Sentiment analysis, a branch of semantic analysis, focuses on deciphering the emotions, opinions, and attitudes expressed in textual data. This application helps organizations monitor and analyze customer sentiment towards products, services, and brand reputation. By understanding customer sentiment, businesses can proactively address concerns, improve offerings, and enhance customer experiences. Semantic analysis, powered by AI technology, has revolutionized numerous industries by unlocking the potential of unstructured data. Its applications have multiplied, enabling organizations to enhance customer service, improve company performance, and optimize SEO strategies. In 2022, semantic analysis continues to thrive, driving significant advancements in various domains.

5 Best Shopping Bots Examples and How to Use Them

10 Best Shopping Bots That Can Transform Your Business

shopping bot software

For example, hospitality agencies use ticketing bots to snag premium seats to include in their package deals. Scripted expediting bots use their speed advantage to blow by human users. An expediting bot can easily reach the checkout page in the time that it could take a fan to type his or her email address.

The rapid increase in online transactions worldwide has caused businesses to seek innovative ways to automate online shopping. The creation of shopping bot business systems to handle the volume of orders, customer queries, and transactions has made the online ordering process much easier. Shopping bots are computer programs that automate users’ online ordering and self-service shopping process.

  • And a single bot can open 100 windows and simultaneously proceed to the checkout page in all of them, coming away with a huge volume of tickets.
  • Two years later, in 2019, Ontario’s government rolled back the 50% resale cap, saying it wasn’t enforceable.
  • Madison Reed is a US-based hair care and hair color company that launched its shopping bot in 2016.
  • With the expanded adoption of smartphones, mobile ticketing is a promising strategy to curb scalping.
  • The following expenses depend on the platform’s pricing and whether you use the free WhatsApp Business app with limitations or the WhatsApp Business API.

Ever wonder how concert tickets are available on resale sites like StubHub or Viagogo even before the tickets go on sale? A ticket buying bot reserving and purchasing multiple sets of tickets. Connect with your users naturally no matter which channels are their favorites. Operator lets its users go through product listings and buy in a way that’s easy to digest for the user. However, in complex cases, the bot hands over the conversation to a human agent for a better resolution.

An online ordering bot can be programmed to provide preset options such as price comparison tools and wish lists in item ordering. These options can be further filtered by department, type of action, product query, or particular service information that users require may require during online shopping. The Chatbot builder can design the Chatbot AI to redirect users with a predictive bot online database or to a live customer service representative. A shopping bot helps users check out faster, find customers suitable products, compare prices, and provide real-time customer support during the online ordering process. A bot also helps users have a more straightforward online shopping process by reducing the query time and personalizing customers’ online ordering experience.

How to beat ticket bots

To make you quickly productive with your ShopBot,

we provide powerful design software with every tool. At Kommunicate, we are envisioning a world-beating customer support solution to empower the new era of customer support. We would love to have you on board to have a first-hand experience of Kommunicate. Headquartered in San Francisco, Intercom is an enterprise that specializes in business messaging solutions.

shopping bot software

Download the self-extracting installation program to your computer, then run it to install the software. If your outboard software is outdated, you will be prompted to reload during the install. A readme file will display any late-breaking information at the end of the installation process. PRTstandard control box looks like a computer CPU either beige, silver, or black. In the long run, it can also slash the number of abandoned carts and increase conversion rates of your ecommerce store. What’s more, research shows that 80% of businesses say that clients spend, on average, 34% more when they receive personalized experiences.

Just 138,000 (4%) of the 3.3 million requests to enter the onsale came from legitimate, trusted visitors. Access our Bot Store and choose among our wide variety of bot templates and create your own. Also, Mobile Monkey’s Unified Chat Inbox, coupled with its Mobile App, makes all the difference to companies. The Inbox lets you manage all outbound and inbound messaging conversations in an individual space. Outside of normal office hours, we regularly check for support requests,
email and phone messages.

There is no nationwide legislation in Australia outlawing ticket bots. However, several states have outlawed bots and put caps on the resale prices of tickets. One scalper used bots to open their presale link for the event 31,325 times, but with Queue-it’s bot mitigation tools in place, got just one spot in queue. Get the answers to these questions & learn everything you need to know about ticket scalping bots in this comprehensive blog post.

And a single bot can open 100 windows and simultaneously proceed to the checkout page in all of them, coming away with a huge volume of tickets. During the onsale itself, scalpers use ticket bots’ speed and volume advantages to beat loyal fans to the tickets and scoop up as much inventory as they can. What all ticket bots have in common is that they provide the person using the bot with an unfair advantage. If shoppers were athletes, using ticket bot software would be the equivalent of doping.

AR enabled chatbots show customers how they would look in a dress or particular eyewear. Madison Reed’s bot Madi is bound to evolve along AR and Virtual Reality (VR) lines, paving the way for others to blaze a trail in the AR and VR space for shopping bots. H&M is one of the most easily recognizable brands online or in stores. Hence, H&M’s shopping bot caters exclusively to the needs of its shoppers. This retail bot works more as a personalized shopping assistant by learning from shopper preferences. It also uses data from other platforms to enhance the shopping experience.

A checkout bot is a shopping bot application that is specifically designed to speed up the checkout process. Having a checkout bot increases the number of completed transactions and, therefore, sales. An excellent Chatbot builder offers businesses the opportunity to increase sales when they create online ordering bots that speed up the checkout process.

Then, pick one of the best shopping bot platforms listed in this article or go on an internet hunt for your perfect match. First, choose a reliable platform that allows you to create a WhatsApp bot. Most have templates, guides, and other resources to help you build a chatbot. Or, you can create a conversation flow from scratch depending on your needs and customize it as you wish. Segment your audience based on their behavior and preferences, allowing you to send targeted and personalized messages that resonate with your customers. Streamline your messaging process by instantly identifying and tracking user behavior.

The more advanced option will be coded to provide an extensive list of language options for users. This helps users to communicate with the bot’s online ordering system with ease. Thus far, we have discussed the benefits to the users of these shopping apps.

Simple online shopping bots are more task-driven bots programmed to give very specific automated answers to users. This would include a basic Chatbot for businesses on online social media business apps, such as Meta (Facebook or Instagram). These bots do not factor in additional variables or machine learning, have a limited database, and are inadequate in their conversational capabilities. These online bots are useful for giving basic information such as FAQs, business hours, information on products, and receiving orders from customers. Tidio’s online shopping bots automate customer support, aid your marketing efforts, and provide natural experience for your visitors.

To make sure we can get back to you as soon as possible,
leave a phone number or return email address where you will be available.

Cart abandonment is a significant issue for e-commerce businesses, with lengthy processes making customers quit before completing the purchase. Shopping bots can cut down on cumbersome forms and handle checkout more efficiently by chatting with the shopper and providing them options to buy quicker. In reality, shopping bots are software that makes shopping almost as easy as click and collect. It is highly effective even if this is a little less exciting than a humanoid robot. Shopping bots are virtual assistants on a company’s website that help shoppers during their buyer’s journey and checkout process.

You have the option of choosing the design and features of the ordering bot online system based on the needs of your business and that of your customers. Chatbots are wonderful shopping bot tools that help to automate the process in a way that results in great benefits for both the end-user and the business. Customers no longer have to wait an extended time to have their queries and complaints resolved.

With a virtual waiting room, bots that arrive before the onsale starts are placed in a pre-queue together with legitimate users. This eliminates any advantage in arriving early or hitting the web page milliseconds after the start of the sale. A full-fledged plan to deal with ticket bots must span several levels, from concrete technical tactics to comprehensive bot mitigation solutions to larger ticketing strategies. And given the fortune that successful bot operators can make, ticketing bots aren’t going away anytime soon.

This bot provides direct access to the customer service platform and available clothing selection. This company uses its shopping bots to advertise its promotions, collect leads, and help visitors quickly find their perfect bike. Story Bikes is all about personalization and the chatbot makes the customer service processes faster and more efficient for its human representatives. Luckily, customer self-service bots for online shopping are a great solution to a hassle-free buyer’s journey and help to replicate the in-store experience of an assistant attending to customers.

Built-in templates for your chatbot.

You can use one of the ecommerce platforms, like Shopify or WordPress, to install the bot on your site. This will ensure the consistency of user experience when interacting with your brand. So, choose the color of your bot, the welcome message, where to put the widget, and more during the setup of your chatbot. You can also give a name for your chatbot, add emojis, and GIFs that match your company. We’re aware you might not believe a word we’re saying because this is our tool.

LiveChatAI isn’t limited to e-commerce sites; it spans various communication channels like Intercom, Slack, and email for a cohesive customer journey. With compatibility for ChatGPT 3.5 and GPT-4, it adapts to diverse business requirements, effortlessly transitioning between AI and human support. Global travel specialists such as and Amadeus trust SnapTravel to enhance their customer’s shopping experience by partnering with SnapTravel. SnapTravel’s deals can go as high as 50% off for accommodation and travel, keeping your traveling customers happy. You can foun additiona information about ai customer service and artificial intelligence and NLP. Concerning e-commerce, WeChat enables accessible merchant-to-customer communication while shoppers browse the merchant’s products.

But if you want your shopping bot to understand the user’s intent and natural language, then you’ll need to add AI bots to your arsenal. And to make it successful, you’ll need to train your chatbot on your FAQs, previous inquiries, and more. Take a look at some of the main advantages of automated checkout bots.

Give tech support a call to find out whether a new Control Card would be beneficial for your tool. It is just a piece of software that automates basic tasks like to click everything at super speed. So, make sure that your team monitors the chatbot analytics frequently after deploying your bots. These will quickly show you if there are any issues, updates, or hiccups that need to be handled in a timely manner.

These include price comparison, faster checkout, and a more seamless item ordering process. However, the benefits on the business side go far beyond increased sales. Aspire provides a powerful but intuitive software solution for creating and cutting parts on a CNC router. What makes Aspire Vectric’s premium package is the added 3D design tools which enable you to create your own 3D relief models
and machine them with 3D machining strategies.

Here’s a breakdown on the legality of ticket bots in the U.S., E.U., U.K., Canada, and Australia. Scalping—the practice of purchasing tickets with the intention to resell for a profit—is also outlawed in much of the world. Fraudsters, touts, and scalpers use bots for unfair advantage and fraud in every step of the ticket scalping journey.

How to create a shopping bot?

Your budget and the level of automated customer support you desire will determine how much you invest into creating an efficient online ordering bot. Chatbot speeds up the shopping and online ordering process and provides users with a fast response to their queries about products, promotions, and store policies. Online Chatbots reduce the strain on the business resources, increases customer satisfaction, and also help to increase sales. They help bridge the gap between round-the-clock service and meaningful engagement with your customers. AI-driven innovation, helps companies leverage Augmented Reality chatbots (AR chatbots) to enhance customer experience.

Based on the shopping data accessed by the bots, they can create detailed profiles of their ideal customer’s suitable products and best incentive programs and predict potential customer behavior. Businesses are also easily able to identify issues within their supply chain, product quality, or pricing strategy with the data received from the bots. Businesses that can access and utilize the necessary customer data can remain competitive and become more profitable. Having access to the almost unlimited database of some advanced bots and the insights they provide helps businesses to create marketing strategies around this information.

Moreover, you can integrate your shopper bots on multiple platforms, like a website and social media, to provide an omnichannel experience for your clients. The online ordering bot should be preset with anticipated keywords for the products and services being offered. These keywords will be most likely to be input in the search bar by users. In addition, it would have guided prompts within the bot script to increase its usability and data processing speed. Price comparison, a listing of products, highlighting promotional offers, and store policy information are standard functions for the average online Chatbot.

Keeping with Kik’s brand of fun and engaging communication, the bots built using the Bot Shop can be tailored to suit a particular audience to engage them with meaningful conversation. The Bot Shop’s USP is its reach of over 300 million registered users and 15 million active monthly users. Download the installation program to your computer, then run it to install the ShopBot Control Software.

The following year, the state of South Australia ratified the Fair Trading (Ticket Scalping) Amendment Bill to crack down on ticketing bots. Western Australia introduced the similar legislation in 2021, including a ban of the use of bot software. When you think of the people behind ticket bots, you probably conjure up images of a hacker or criminal type, camped out in a basement.

There are five main types of ticket bot operators, each with their own objectives. When they find available tickets, they use expediting bots to quickly reserve and scalping bots to purchase them. In a recent high-profile concert ticket sale Queue-it worked with, 96% of traffic came from bots and uninvited visitors. With SnatchBot proprietary technology, a whole new level of engagement experience is possible with the world’s first free talking chatbots. Online ordering bots will require extensive user testing on a variety of devices, platforms, and conditions, to determine if there are any bugs in the application. Shopping bots minimize the resource outlay that businesses have to spend on getting employees.

So, check out Tidio reviews and try out the platform for free to find out if it’s a good match for your business. Connect your bots to existing techstacks, so you have all the data, right where you want it. Test different message variations, such as text, images, and call-to-actions, and analyze their performance to determine which messages resonate best with your audience. Then, use this data to optimize your messaging strategy and drive better results. To run large, exclusive drops, Queue-it customers use the invite-only waiting room.

The bots ask users questions on choices to save time on hunting for the best bargains, offers, discounts, and deals. Unfortunately, shopping bots aren’t a “set it and forget it” kind of job. They need monitoring and continuous adjustments to work at their full potential. Reflect, update, and store data your chatbots collect to improve your day-to-day work efficiency. The following expenses depend on the platform’s pricing and whether you use the free WhatsApp Business app with limitations or the WhatsApp Business API.

Despite various applications being available to users worldwide, a staggering percentage of people still prefer to receive notifications through SMS. Mobile Monkey leans into this demographic that still believes in text messaging and provides its users with sales outreach Chat PG automation at scale. Such automation across multiple channels, from SMS and web chat to Messenger, WhatsApp, and Email. Like WeChat, the Canadian-based Kik Interactive company launched the Bot Shop platform for third-party developers to build bots on Kik.

Ticketing touts also try to get control over existing legitimate accounts. They either use bots to guess common usernames and passwords (called credential cracking) or to perform mass login attempts for stolen username/password pairs (called credential stuffing). The scale of the bots problem in the ticketing world is hard to overstate. Customers just need to enter the travel date, choice of accommodation, and location.

After this, the shopping bot will then search the web to get you just the right deal to meet your needs as best as possible. Started in 2011 by Tencent, WeChat is an instant messaging, social media, and mobile payment app with hundreds of millions of active users. Shopify Messenger also functions as an efficient sales channel, integrating with the merchant’s current backend. The messenger extracts the required data in product details such as descriptions, images, specifications, etc. The Shopify Messenger bot has been developed to make merchants’ lives easier by helping the shoppers who cruise the merchant sites for their desired products. It is possible to upgrade most ShopBots to the latest V2xx Control Cards, though not all features will be supported on older tools.

There may be certain restrictions on the type of shopping bot you are allowed to build. Once you have identified which bots are legally allowed for your business, then you can freely approach a Chatbot builder with your ordering bot design proposal. The artificial intelligence of Chatbots gives businesses a competitive edge over businesses that do not utilize shopping bots in their online ordering process. Shopping bot business users usually create shopping bot systems such as a Chatbot to increase their customer service capabilities, create customer loyalty from users and maximize profits.

Enrich digital experiences by introducing chatbots that can hold smart, human-like conversations with your customers and employees. Use our proprietary, Natural Language Processing capabilities that enable chatbots to understand, remember and learn from the information gathered during each interaction and act accordingly. SnatchBot eliminates complexity and helps you to build the best chatbot experience for your customers. We provide robust administrative features and enterprise-grade security to comply with regulatory mandates.

  • You can also quickly build your shopping chatbots with an easy-to-use bot builder.
  • An online ordering bot can be programmed to provide preset options such as price comparison tools and wish lists in item ordering.
  • But what are ticket bots, how do they work, and how can they be stopped?
  • When a potential customer logs out before purchasing online, a Chatbot with cart abandonment functionality increases the likelihood that the user will return to complete the purchase.
  • Give tech support a call to find out whether a new Control Card would be beneficial for your tool.

You can program Shopping bots to bargain-hunt for high-demand products. These can range from something as simple as a large quantity of N-95 masks to high-end bags from Louis Vuitton. If your outboard Controller firmware is outdated, you will be prompted to reload it when you next run the software using
Utility › Install Firmware [UI]. Any late-breaking information will display in a readme message at the end of the installation process. You can also collect feedback from your customers by letting them rate their experience and share their opinions with your team.

Prior to the sale of tickets online, bad bots are used to create fake accounts or take over existing legitimate ones. But what are ticket bots, how do they work, and how can they be stopped? Read on to discover everything you need to know about ticket bots—and how you can beat them. Once repairs and updates to the bot’s online ordering system have been made, the Chatbot builders have to go through rigorous testing again before launching the online bot.

shopping bot software

This is thanks to the artificial intelligence, machine learning, and natural language processing, this engine used to make the bots. This no-code software is also easy to set up and offers a variety of chatbot templates for a quick start. A skilled Chatbot builder requires the necessary skills to design advanced checkout features in the shopping bot. These shopping bot shopping bot software business features make online ordering much easier for users. Online checkout bot features include multiple payment options, shorter query time for users, and error-free item ordering. This bot application’s development tool and programming language should seamlessly integrate across all platforms such as MAC IOS and Windows to facilitate better end-user testing.

All you need to do is get a platform that suits your needs and use the visual builders to set up the automation. Shopping bots offer numerous benefits that greatly enhance the overall shopper’s experience. These bots provide personalized product recommendations, streamline processes with their self-service options, and offer a one-stop platform for the shopper. API (application programming interface) is a set of definitions and protocols for building and integrating application software. For example, you can use the API for WhatsApp chatbots to integrate your system into a chatbot service and create self-service workflows for your business.

You’ll have to connect your WhatsApp business account for the last two options and a phone number for both. Bots have changed the economics of the ticketing business, so ticketing organizations need to change the economics of bot attacks. That means targeting each bot attack vector and increasing the costs bot operators incur in order to overcome the protections. We’ve seen limited impact from ticket bot legislation thus far, which makes ticketing organizations the only ones who can put a stop to bots. The U.S. BOTS Act, for example, doesn’t appear to apply to people who purchase tickets where they’ve only used bots to reserve the tickets (as Denial of Inventory bots do).

Most of the chatbot software providers offer templates to get you started quickly. All you need to do is pick one and personalize it to your company by changing the details of the messages. One is a chatbot framework, such as Google Dialogflow, Microsoft bot, IBM Watson, etc. You need a programmer at hand to set them up, but they tend to be cheaper and allow for more customization. With these bots, you get a visual builder, templates, and other help with the setup process. This helps visitors quickly find what they’re looking for and ensures they have a pleasant experience when interacting with the business.

In 2017, Intercom introduced their Operator bot, ” a bot built with manners.” Intercom designed their Operator bot to be smarter by making the bot helpful, restrained, and tactful. The end result has the bot understanding the user requirement better and communicating to the user in a helpful and pleasant way. This bot is useful mostly for book lovers who read frequently using their “Explore” option. After clicking or tapping “Explore,” there’s a search bar that appears into which the users can enter the latest book they have read to receive further recommendations. Furthermore, it also connects to Facebook Messenger to share book selections with friends and interact. Travel is a domain that requires the highest level of customer service as people’s plans are constantly in flux, and travel conditions can change at the drop of a hat.

shopping bot software

For example, Sephora’s Kik Bot reaches out to its users with beauty videos and helps the viewers find the products used in the video to purchase online. Furthermore, the bot offers in-store shoppers product reviews and ratings. With Kommunicate, you can offer your customers a blend of automation while retaining the human touch. With the help of codeless bot integration, you can kick off your support automation with minimal effort. You can boost your customer experience with a seamless bot-to-human handoff for a superior customer experience.

Using bots to scalp tickets is a perfect example of rent-seeking behavior (economist talk for leeching) that adds no benefit to society. But as long as there’s a secondary market to sell tickets at markups of over 1,000%, bad actors will fill the void to take advantage. Adopted the legislation in November 2019, and the laws came into effect for E.U.

OpenAI Lets Mom-and-Pop Shops Customize ChatGPT – The New York Times

OpenAI Lets Mom-and-Pop Shops Customize ChatGPT.

Posted: Mon, 06 Nov 2023 08:00:00 GMT [source]

When the Ontario ban on ticket bots passed, attorney general Yasir Niqvi acknowledged the difficulty of enforcing the bot ban, as many bot operators are located outside of the province. Two years later, in 2019, Ontario’s government rolled back the 50% resale cap, saying it wasn’t enforceable. In 2017, the Australian state of New South Wales passed anti-bot legislation, which also included a resale cap at no more than 10% over the face value of the ticket.

Ticket bots use software to execute automated tasks based on the instructions bot makers provide. Bots buy concert tickets in bulk by using speed to purchase tickets faster than regular people, and volume to get around ticket purchase limits. The shopping bot helps build a complete outfit by offering recommendations in a multiple-choice format.

The newest iteration of bots will continue to outpace and outmaneuver the legal roadblocks. Cashing out refers to the general online credit card fraud that occurs when fraudsters use stolen card info to buy the tickets. Scalpers nearly always use bots to exceed the ticket limit, thus breaking ticketing companies’ terms of service. While some scalpers will pay for these tickets with legitimate credit cards, the worst scalpers do this all with stolen or hacked card information, increasing their scalping profit. Denial of inventory involves using bots to add tickets to the cart, making them unavailable for fans to buy. Scalpers know some fans will see the “no tickets available” messaging and will want to go to the event so badly they’ll pay whatever just to get their hands on a ticket.

Automatically send personalized messages to customers who abandon their carts, enticing them to complete purchases. With the expanded adoption of smartphones, mobile ticketing is a promising strategy to curb scalping. The paper ticket is “this paper entity that can be spoofed and subject to fraud,” says Kristin Darrow, senior vice president at Tessitura Network. Mobile ticketing puts more control measures in place, such as tracking the transfer of tickets and limiting sales by geographic area. The advantage of this exclusive strategy is that you choose who gets access to your onsale.

You can also quickly build your shopping chatbots with an easy-to-use bot builder. Overall, shopping bots are revolutionizing the online shopping experience by offering users a convenient and personalized way to discover, compare, and purchase products. Thanks to the advancements in artificial intelligence, these bots are becoming increasingly sophisticated, making the process of finding and buying products online seamless and efficient. A shopping bot provides users with many different functions, and there are many different types of online ordering bots. A Chatbot is an automated computer program designed to provide customer support by answering customer queries and communicating with them in real-time.

By eliminating any doubt in the choice of product the customer would want, you can enhance the customer’s confidence in your buying experience. Madison Reed is a US-based hair care and hair color company that launched its shopping bot in 2016. The bot takes a few inputs from the user regarding the hairstyle they desire and asks them to upload a photo of themselves. While some buying bots alert the user about an item, you can program others to purchase a product as soon as it drops. Execution of this transaction is within a few milliseconds, ensuring that the user obtains the desired product.

क्या आपको पता है नामीबिया से इन चीतों को आखिर भारत क्यों लाया जा रहा है ?


हाल ही में चीते का विषय खूब चर्चा में चल रहा है, और हर भारतीय की नज़र उन चीतों पर टिकी है और आज हमारे भारत में चीतों का आगमन भी हो चूका है।

लेकिन क्या आपको पता है नामीबिया की राजधानी से इन चीतों को आखिर भारत क्यों लाया जा रहा है ? नहीं पता, तो चलो आपको बात देते है

दरसल 1952 में भारत में चीतों को विलुप्त घोषित कर दिया गया था जिसके बाद अब 2022 में इन चीतों को प्रधानमन्त्री मोदी जी द्वारा भारत में लाया जा रहा है। भारत से चीतों के विलुप्त हो जाने के बाद भारत की ग्रस्लैंड इकोलॉजी खराब हो गई थी। एक्सपर्ट्स के मुताबिक़ चीते इकोसिस्टम के लिए बेहद जरुरी है और इनका न होना जो की प्रकृति के लिए काफी नुक्सान दायक है।

दरअसल चीता फ़ूड चैन में सबसे ऊपर आता है, किसी भी देश में इनके न होने से फ़ूड चैन का संतुलन पूरी तरह से बिगड़ जाता है। यही वजह है की चीतों की अहमियत को समझते हुए भारत में फिर से बसाया जा रहा है।

1972 में इंदिरा गांधी की सरकार ने भी ईरान से चीतों का आयत करने की बात रखी थी और ईरान भी चीते देने के लिए तैयार था लेकिन ऐसा हो नहीं पाया क्योंकि उस वक्त ईरान में खुनी क्रांति हो गई जिस वजह से उन्हें भारत नहीं ला पाए।

प्रतापगढ़ में लम्पी का विस्फोट

लगातार लम्पी के बढ़ते केस को देखते हुए हाल ही में प्रतापगढ़ से भी कई सारे मामले सामने आए है। जहा लम्पी से जिले में कुल 591 पशु संक्रमित हुए है। जिले में लम्पी संक्रमण का विस्फोट हुआ है ऐसे में संक्रमित पशुओं की संख्या बढ़कर 2627 हो गई है इसके साथ कई सारे पशुओं की मौत भी हो गई है। मौत का आंकड़ा अब 32 तक पहुँच चूका है। अगर बात की जाए सितम्बर माह की तो एक तारीख से अब तक में एक ही दिन में 500 से ज्यादा संक्रमित पशु मिले है। वही एक दिन में 4 से ज्यादा पशुओ की मौत के मामले भी सामने आ रहे है।
लगातार इतने मामले सामने आने के बावजूद भी सरकार प्रतापगढ़ को संक्रमण के मामले में अन्य जिलों के मुकाबले कम आंक रही है। यह संक्रमण प्रतापगढ़ जिले में फैलते फैलते अब तक पुरे उपखण्ड में फ़ैल चूका है। अगस्त माह तक बिमारी का संक्रमण कम था पर देखते ही देखते यह मामले लगातार बढ़ते जा रहे हैं। फिलहाल राहत की बात यह है की सभी गौशाला अबतक सुरक्षित है,भामाशाह और गौ प्रेमियों की मदद से कीटनाशक दवाओं का छिड़काव किया जा रहा है। इसके साथ ही उपचार की वजह से जिले में 95 मामले रिकवर के भी आ रहे है।

प्रतापगढ़ जिले में डोल ग्यारस

प्रतापगढ़ जिले में डोल ग्यारस, जलझूलनी एकादशी के दौरान नगर में पहली बार बजरंगदल की ओर से अखाड़े का आयोजन किया गया। जहां नगर में पहली बार ग्यारस पर चिंताहरण हनुमान मंदिर से अखाड़ा निकाला गया। अखाड़े के दौरान रास्ते भर में पहलवानों का नागरिकों ने फूल मालाओं से एवं पुष्प वर्षा कर स्वागत किया जहाँ पहलवानों ने हैरत अंगेज करतब दिखाए। अखाड़े के दौरान भगवान श्री कृष्ण की आकर्षक झांकी भी निकाली गई। आयोजित अखाड़े के दमें जिले भर से कई सारे पहलवानों ने अखाड़े में भाग लिया व अपनी प्रस्तुति दी। अखाड़े के दौरान दुर्गा वाहिनी ग्रुप ने भी अपनी आकर्षक प्रस्तुति दी व जबरदस्त करतब दिखाए।

बहु ने चबाई सास की उंगलियां


महाराष्ट्र के ठाणे से एक चौका देने वाली घटना सामने आई है जिसे सुनकर आप हैरान हो जाएंगे। दरअसल महाराष्ट्र में एक महिला ने अपने सास की उंगलिया चबा डाली। हुआ यु की सास ने अपनी बहु से टेलीविज़न की आवाज कम करने को कहा तो इस बात से दोनों के बिच तेज झगड़ा हो गया। देखते ही देखते झगड़ा इतना बढ़ गया की गुस्साई बहु ने अपनी बुजुर्ग सास के हाथ की तीन उंगलियां चबा डाली और इसके साथ ही पति से भी मारपीट की।


डिजिटल उपवास


जैन धर्म में इन दिनों पर्युषण पर्व चल रहा है जिसके चलते लोग कई सारे उपवास और व्रत रख रहे है। लेकिन मध्यप्रदेश के रायसेन जिले के बेगमगंज में इस पर्युषण पर्व पर जैन मुनियों के सामने एक अनोखे उपवास की अवधारणा रखी गई है जिस उपवास की जगह जगह चर्चा हो रही है। दरअसल बेगमगंज में जैन समाज अध्यक्ष अक्षय जैन के आवाहन पर इस बार इंटरनेट मुक्त उपवास यानि की “डिजिटल फास्टिंग” का नाम दिया गया है जिसमे सभी भक्त जनो ने अपने अपने मोबाइलों को मंदिर में जमा करवा दिया है। यह उपवास 24 घंटे का है और सभी लोग इस उपवास को बढ़ चढ़कर कर रहे है। दरअसल आजकल बच्चे हो या युवा महिलाए सभी लोगों को मोबाइल की आदत लगी होती है वे लोग 24 घंटे मोबाइल पर ऑन रहते है जिस वजह से वो अपन आसपास के लोग और प्रकृति से दूर होते जा रहे है। अब इस उपवास के जगह- जगह चर्चे हो रहे है। हर कोई कह रहा है की ये उपवास हम भी महीने में एक बार तो करेंगे ही।

मुस्लिम शख्स ने अपने घर विराजे गणपति


अगर बात करे सांप्रदायिक सौहार्द की तो एक मुस्लिम शख्स ने अपने घर पर गणपति बैठे है। दरसल हैदराबाद के रहने वाले शख्स मोहम्मद सिद्दीकी गणेश चतुर्थ के दौरान अपने घर पर गणपति स्थापित किये है और धूम-धाम विधि -विधान से उनकी पूजा- अर्चना भी करते है। मोहम्मद का कहना है की वे पिछले 18 सालों से अपने घर पर गणपति स्थापित करते है।

छात्र आया देर से प्रिंसिपल ने तोड़ी पैर की हड्डिया


उत्तरप्रदेश से स्टूडेंट की पिटाई कर देने का एक और मामला सामने आया है जहा प्रिंसिपल ने एक छात्र को इतना पिट दिया की उस छात्र के पैर की दोनों हड्डिया टूट गई। दरअसल हुआ यूँ की उत्तरप्रदेश के शामली के जय जवान जय किसान इंटर कॉलेज में एक छात्र स्कूल आने में थोड़ा सा लेट क्या हो गया प्रिंसिपल ने उसकी डंडे से पिट पीटकर झमकर धुलाई कर दी और छात्र देवल के दोनों पैर की हड्डिया टूट गई। पीड़ित के पिता ने बताया की उनका बेटा देवल अभी सिर्फ आठवीं कक्षा में ही पढता है और पिछले काफी दिनों से उसकी तबियत भी सही नहीं थी।

अब नॉएडा से भी कुत्ते के काटने का एक और मामला सामने आया है।


गाज़ियाबाद के बाद अब नॉएडा से भी कुत्ते के काटने का एक और मामला सामने आया है। जहां एक पालतू कुत्ते ने पास में खड़े शख्स को काट लिया और घायल युवक वही लिफ्ट में गिर गया। दरअसल नॉएडा स्थित सेक्टर 75 अपैक्स एथेना सोसायटी की लिफ्ट में एक कुत्ते ने पास खड़े एक शख्स को काट लिया और वह शख्स डर कर वही लिफ्ट में गिर गया और कुत्ते के मालिक ने कुत्ते को खूब रोकने की कोशिश की। ऐसा ही एक और मामला गाज़ियाबाद से भी आया था जहां लिफ्ट में एक महिला के कुत्ते ने पास में खड़े एक छोटे बच्चे को काट लिया जिसके बाद उस महिला ने उस बच्चे का हाल तक पूछना सही नहीं समझा।