{"id":205299,"date":"2021-08-11T10:37:13","date_gmt":"2021-08-11T10:37:13","guid":{"rendered":"https:\/\/www.revechat.com\/blog\/"},"modified":"2026-05-17T05:03:41","modified_gmt":"2026-05-17T05:03:41","slug":"chatbot-sentiment-analysis","status":"publish","type":"post","link":"https:\/\/www.revechat.com\/blog\/chatbot-sentiment-analysis\/","title":{"rendered":"How Chatbot Sentiment Analysis Boosts Customer Satisfaction"},"content":{"rendered":"\n<p><span style=\"font-weight: 400;\">Chatbots are gradually becoming more sophisticated as they can now adapt to new AI features with ease.&nbsp;&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">You can also expect them to recognize user intent efficiently, decode the mood of users instantly, and drive the flow of conversations in tune with customer\u2019s emotions.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">And sentiment analysis is one such feature that makes bots even more powerful in terms of understanding the emotion in the customer messages.<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">In fact, <\/span><span style=\"font-weight: 400;\">64% of businesses<\/span><span style=\"font-weight: 400;\"> believe that chatbots can help them provide a more customized support experience for their customers.&nbsp;&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">You can always leverage the chatbot sentiment analysis feature to easily know if customers are having a good experience with your chatbots.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">This is how AI-powered bots can help you engage customers better and improve their experience with your brand.&nbsp;<\/span><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span style=\"font-weight: 400;\">What is Chatbot Sentiment Analysis?&nbsp;<\/span><\/h2>\n\n\n\n<p><span style=\"font-weight: 400;\">Sentiment analysis is a subfield of machine learning (ML) and natural language processing (NLP) that can help chatbots determine emotions from textual or voice data. It\u2019s one of the key <\/span><a title=\"chatbot features\" href=\"https:\/\/www.revechat.com\/blog\/chatbot-features\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">chatbot features<\/span><\/a><span style=\"font-weight: 400;\"> that is used to analyze customer data by mining thoughts, opinions, or sentiments.&nbsp;<\/span><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img decoding=\"async\" width=\"1790\" height=\"1262\" src=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/What-is-sentiment-analysis.png\" alt=\"What is sentiment analysis\" class=\"wp-image-205306\" srcset=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/What-is-sentiment-analysis.png 1790w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/What-is-sentiment-analysis-300x212.png 300w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/What-is-sentiment-analysis-768x541.png 768w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/What-is-sentiment-analysis-1024x722.png 1024w\" sizes=\"(max-width: 1790px) 100vw, 1790px\" \/><\/figure><\/div>\n\n\n<p><span style=\"font-weight: 400;\">The use of conversational sentiment analysis enables a chatbot to understand the mood of the customer by sentence structures and verbal cues. Bots can use sentiment analysis to modify responses in tune with customer\u2019s emotions and thus help segment the audience.&nbsp;&nbsp;<\/span><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span style=\"font-weight: 400;\">Benefits of Chatbot Sentiment Analysis&nbsp;<\/span><\/h2>\n\n\n\n<p><span style=\"font-weight: 400;\">Chatbot sentiment analysis is a great way for businesses to understand the mood of customers by decoding verbal and sentence structure clues. Bots are not only able to handle happier customers themselves but can also route the unhappier ones to human agents to improve their overall experiences with your business.&nbsp;<\/span><span style=\"font-weight: 400;\">&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Your business can implement conversational sentiment analysis in its <\/span><span style=\"font-weight: 400;\">chatbot design<\/span><span style=\"font-weight: 400;\"> and benefit in many ways.&nbsp;<\/span><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><b>Accurate response<\/b><span style=\"font-weight: 400;\"> &#8211;\u00a0 Bots will be able to identify the mood of customers, find out whether the mood is positive, negative, or neutral. Based on that, you can offer accurate responses and delight customers.\u00a0\u00a0\u00a0<\/span><\/li>\n\n\n\n<li><b>Lower customer support issues<\/b><span style=\"font-weight: 400;\"> &#8211; AI chatbots can leverage machine learning (ML) and natural language processing (NLP) to assign numerical scores to emotions such as anger, happiness, frustrations, etc, and ensure relevant responses to customer issues.\u00a0\u00a0<\/span><\/li>\n\n\n\n<li><b>Superior experience to customers<\/b><span style=\"font-weight: 400;\"> &#8211; The use of chatbot sentiment analysis can give your business an opportunity to understand the customer journey better and then provide the right responses to improve their experience.\u00a0\u00a0<\/span><\/li>\n\n\n\n<li><b>Empathetic service<\/b><span style=\"font-weight: 400;\"> &#8211; Bots are now powerful enough to adapt to the mood of the customer and then drive the conversation accordingly, therefore enabling empathetic service for customers.\u00a0\u00a0<\/span><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span style=\"font-weight: 400;\">Tips to&nbsp;Use Chatbot Sentiment Analysis to Improve Customer Satisfaction<\/span><\/h2>\n\n\n\n<p><span style=\"font-weight: 400;\">The effectiveness of sentiment analysis-powered chatbots can easily be leveraged to deliver a great customer experience. Your business can have many <\/span><a title=\"chatbot use cases\" href=\"https:\/\/www.revechat.com\/blog\/chatbots-use-cases\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">chatbot use cases<\/span><\/a><span style=\"font-weight: 400;\"> where it can identify customers\u2019 intentions and offer relevant answers quickly. This is how the overall experience of customers is enhanced with your brand.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Chatbot sentiment analysis can be used in different ways to improve customer satisfaction.&nbsp;<\/span><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a style=\"font-weight: 400;\" href=\"#sentiment\">\u00a0Sentiment Categorization<\/a>\u00a0<\/li>\n\n\n\n<li><a style=\"font-weight: 400;\" href=\"#adaptable\">\u00a0Adaptable Customer Support<\/a><\/li>\n\n\n\n<li><a style=\"font-weight: 400;\" href=\"#seamless\">\u00a0Seamless Agent Handover<\/a><\/li>\n\n\n\n<li><a style=\"font-weight: 400;\" href=\"#insights\">Insights From Social Media Conversations<\/a><\/li>\n\n\n\n<li><a style=\"font-weight: 400;\" href=\"#product\">Product Recommendations<\/a>\u00a0<\/li>\n\n\n\n<li><a style=\"font-weight: 400;\" href=\"#filter\">\u00a0Filter Customers<\/a>\u00a0\u00a0\u00a0<\/li>\n\n\n\n<li><a style=\"font-weight: 400;\" href=\"#relevant\">\u00a0Relevant Customer Conversations<\/a>\u00a0\u00a0<\/li>\n<\/ol>\n\n\n\n<p><span style=\"font-weight: 400;\">Let\u2019s discuss each of the ways in detail.&nbsp;&nbsp;<\/span><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span id=\"sentiment\" style=\"font-weight: 400;\">1. Sentiment Categorization&nbsp;<\/span><\/h3>\n\n\n\n<p><span style=\"font-weight: 400;\">Sentiment analysis can help you do a more in-depth analysis of user comments and customer feedback to better understand the emotions.&nbsp;&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">What\u2019s more, <\/span><a title=\"AI chatbots\" href=\"https:\/\/www.revechat.com\/chatbots\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">AI chatbots<\/span><\/a><span style=\"font-weight: 400;\"> are able to analyze various words and their different elements such as plurals, tenses, adjectives, verbs, and verbs.&nbsp;<\/span><span style=\"font-weight: 400;\">&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Based on such an analysis, it\u2019s always easy to do a deft analysis of user comments and customer feedback.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">When you do sentiment categorization, it allows you to understand how customers feel about your products, services, policies, or any other aspect of the business.&nbsp;<\/span><span style=\"font-weight: 400;\">&nbsp;<\/span><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img decoding=\"async\" width=\"827\" height=\"462\" src=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Sentiment-categorization.jpg\" alt=\"Sentiment categorization\" class=\"wp-image-205307\" srcset=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Sentiment-categorization.jpg 827w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Sentiment-categorization-300x168.jpg 300w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Sentiment-categorization-768x429.jpg 768w\" sizes=\"(max-width: 827px) 100vw, 827px\" \/><\/figure><\/div>\n\n\n<h4 class=\"wp-block-heading\"><strong>How does chatbot help in sentiment categorization?<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span style=\"font-weight: 400;\">The bot will first <\/span><b>identity sentiment types<\/b><span style=\"font-weight: 400;\"> and understand if the emotions in the conversations are positive, negative, or neutral.\u00a0\u00a0<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">You can easily <\/span><b>grasp the intensity of the emotions<\/b><span style=\"font-weight: 400;\"> and based on that assign a numerical score to each of the core emotions.<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Sentiment analysis can help in detecting <\/span><b>a range of emotions such as happiness, anger<\/b><span style=\"font-weight: 400;\">, sadness, positivity, etc.\u00a0<\/span>\u00a0<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span id=\"adaptable\" style=\"font-weight: 400;\">2. Adaptable Customer Support<\/span><\/h3>\n\n\n\n<p><span style=\"font-weight: 400;\">Customers hate poor responses.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">If the answers to their queries are not appropriate, they might feel frustrated, and who knows, may ditch your services and move over to competitors quickly.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">To&nbsp;avoid this situation, you should leverage <a title=\"chatbot advantages\" href=\"https:\/\/www.revechat.com\/blog\/chatbot-business-benefits\/\" target=\"_blank\" rel=\"noopener\">chatbot advantages<\/a> and use sentiment analysis in conversational AI in an effective manner.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">They can understand the user intent, tone of the messages and based on that, efficiently modify the responses to match with the customer\u2019s emotions.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">And when responses are accurate, it always ensures engaging experiences for customers.&nbsp;&nbsp;<\/span><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>How bot use sentiment analysis for adaptable customer support?&nbsp;<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><b>Timely human handover<\/b><span style=\"font-weight: 400;\"> &#8211; Bots can analyze the sentiments of conversations and can ensure timely human handover to <\/span><a href=\"https:\/\/www.revechat.com\/live-chat-software\/\" target=\"_blank\" rel=\"noreferrer noopener\"><span style=\"font-weight: 400;\">live chat<\/span><\/a><span style=\"font-weight: 400;\"> agents in cases where the mood of the customer is negative.\u00a0\u00a0<\/span><\/li>\n\n\n\n<li><b>Categorize customers<\/b><span style=\"font-weight: 400;\"> &#8211; Based on the level of satisfaction, bots can categorize customers and ensure the most demanding ones get the extra care for a better experience.\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span id=\"seamless\" style=\"font-weight: 400;\">3. Seamless Agent Handover<\/span><\/h3>\n\n\n\n<p><span style=\"font-weight: 400;\">Without sentiment analysis, chatbots are never able to understand the tone or mood of the customers.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">And when customers are not understood properly, it can impact the service and may lead to frustration.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">On the other hand, customer service is greatly enhanced when bots are able to enable a timely escalation of issues to human agents.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Bots can always prove a great digital assistant with emotional intelligence if they can use sentiment analysis.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">They can instantly pass on the conversations of angry customers to human agents and contribute to superior customer services.&nbsp;<\/span><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img decoding=\"async\" width=\"1258\" height=\"630\" src=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/11.jpg\" alt=\"11\" class=\"wp-image-205378\" srcset=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/11.jpg 1258w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/11-300x150.jpg 300w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/11-768x385.jpg 768w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/11-1024x513.jpg 1024w\" sizes=\"(max-width: 1258px) 100vw, 1258px\" \/><\/figure><\/div>\n\n\n<p><span style=\"font-weight: 400;\">When bots are not able to understand the customer query or where human intervention is needed, a well-defined fallback can help transfer the chat to the right human agent.<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">The fallbacks need to be defined for two scenarios:&nbsp;<\/span><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span style=\"font-weight: 400;\">When the bot finds the query complex and\u00a0<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">When users prefer to interact with the support rep\u00a0<\/span><\/li>\n<\/ul>\n\n\n\n<p><span style=\"font-weight: 400;\">Best practices in human agent transfer&nbsp;&nbsp;<\/span><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><b>Give customers fallback options<\/b><span style=\"font-weight: 400;\"> to exit the chatbot conversation or to speak to a live agent when there is urgency or for complex matters\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Use tags and variables to <\/span><b>help the bot gather the user\u2019s input<\/b><span style=\"font-weight: 400;\"> and then send the data to the agent when the handover happens\u00a0 \u00a0<\/span><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span id=\"insights\" style=\"font-weight: 400;\">4. Insights From Social Media Conversations&nbsp;<\/span><span style=\"font-weight: 400;\">&nbsp;<\/span><\/h3>\n\n\n\n<p><span style=\"font-weight: 400;\">Unhappy customers often vent their displeasure over social media.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Even happy customers too use social platforms to make their feelings known to the world.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">However, sometimes it\u2019s not possible to understand how the audience feels about your products or services, and in such cases, <\/span><a title=\"chatbot business benefits\" href=\"https:\/\/www.revechat.com\/blog\/chatbot-business-benefits\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">chatbot business benefits<\/span><\/a><span style=\"font-weight: 400;\"> are never fully leveraged.&nbsp; &nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Conversational sentiment analysis in social media can help you get information about customers\u2019 perceptions and feelings.&nbsp;&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Bots with the ability of sentiment analysis can quickly analyze posts, comments, status updates, any piece of text to know whether the mood is positive, negative, or neutral.&nbsp;<\/span><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img decoding=\"async\" width=\"904\" height=\"423\" src=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/social-media-sentiment-analysis.png\" alt=\"social media sentiment analysis\" class=\"wp-image-205309\" srcset=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/social-media-sentiment-analysis.png 904w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/social-media-sentiment-analysis-300x140.png 300w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/social-media-sentiment-analysis-768x359.png 768w\" sizes=\"(max-width: 904px) 100vw, 904px\" \/><\/figure><\/div>\n\n\n<h4 class=\"wp-block-heading\"><strong>How to use chatbot sentiment analysis with social media posts?\u00a0<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span style=\"font-weight: 400;\">In the bot builder, first, <\/span><b>transform the whole text into numbers<\/b><span style=\"font-weight: 400;\"> so that the machine can easily understand it\u00a0<\/span><\/li>\n\n\n\n<li><b>Assign numeric representations<\/b><span style=\"font-weight: 400;\"> to similar words or sentences.\u00a0\u00a0<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Run the algorithm to know the final answer <\/span><b>about the mood of customers<\/b><span style=\"font-weight: 400;\">.\u00a0\u00a0<\/span><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span id=\"product\" style=\"font-weight: 400;\">5. Product Recommendations&nbsp;<\/span><\/h3>\n\n\n\n<p><span style=\"font-weight: 400;\">Sentiment analysis in conversational AI can be used to identify the mood of customers and improve their experience. Based on the level of happiness or frustration, you can devise your product recommendation strategy.<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Chatbots are able to respond accurately by adapting to the user\u2019s mood and this feature can help a lot in recommending products to new or existing customers.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Similarly, sentiment analysis-powered bots are smart to avoid needless sales pitches and this saves you disgruntled customers.&nbsp;<\/span><span style=\"font-weight: 400;\">&nbsp;<\/span><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img decoding=\"async\" width=\"359\" height=\"596\" src=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Product-recommendation.png\" alt=\"Product recommendation\" class=\"wp-image-205310\" srcset=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Product-recommendation.png 359w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Product-recommendation-181x300.png 181w\" sizes=\"(max-width: 359px) 100vw, 359px\" \/><\/figure><\/div>\n\n\n<p><span style=\"font-weight: 400;\">Sephora on Kik<\/span><span style=\"font-weight: 400;\"> chatbot is a good example of how to be deft with your product recommendation opportunities without being an in-your-face type salesperson. It never tries too hard with upselling and rather takes things gradually by asking a step-by-step question.&nbsp;&nbsp;<\/span><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Best practices in using chatbots for product recommendations<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span style=\"font-weight: 400;\">Use sentiment analysis in a way that <\/span><b>makes your bot helpful and non-intrusive<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n\n\n\n<li><b>Build the bot to first offer advice<\/b><span style=\"font-weight: 400;\"> and then engage in any kind of upselling or cross-selling.<\/span><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span id=\"filter\" style=\"font-weight: 400;\">6. Filter Non-Value Customers&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<\/span><\/h3>\n\n\n\n<p><span style=\"font-weight: 400;\">Not all customers would be equally important for your business.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Some would bring value while there will be some you may want to avoid due to various reasons.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Chatbots with sentiment analysis can help you filter customers based on the words, voice, or sentences used by them.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Similarly, the use of bots can prove very helpful by saving relevant information about the customers and showing them what truly matters to them.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">This is how you can use data to get more targeted messages and be able to deliver personalized experiences as well.&nbsp;<\/span><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img decoding=\"async\" width=\"1129\" height=\"858\" src=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Filter-customers.png\" alt=\"Filter customers\" class=\"wp-image-205311\" srcset=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Filter-customers.png 1129w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Filter-customers-300x228.png 300w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Filter-customers-768x584.png 768w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Filter-customers-1024x778.png 1024w\" sizes=\"(max-width: 1129px) 100vw, 1129px\" \/><\/figure><\/div>\n\n\n<h4 class=\"wp-block-heading\"><strong>Why filter customers using sentiment analysis?\u00a0<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span style=\"font-weight: 400;\">You can <\/span><b>restrict the customers who use bad or offensive words<\/b><span style=\"font-weight: 400;\"> and focus entirely on serving the ones that matter to your business.<\/span><\/li>\n\n\n\n<li><b>Support cost can be saved<\/b><span style=\"font-weight: 400;\"> by avoiding the need to cater to customers that are not meant to benefit your business in any way.\u00a0\u00a0<\/span><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span id=\"relevant\" style=\"font-weight: 400;\">7. Relevant Customer Conversations&nbsp;<\/span><\/h3>\n\n\n\n<p><span style=\"font-weight: 400;\">Sentiment analysis-powered chatbots can be quite efficient when it comes to recognizing customer intent and driving the conversations accordingly.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">When bots are built with sentiment analysis, they can easily understand whether the conversations are going well, and can also respond to customer emotions accordingly.<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Such chatbots can decode words, sentences, phrases in a successful manner, and can also decipher the mood of customers and then ensure the conversations go as per intended.&nbsp;<\/span><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img decoding=\"async\" width=\"472\" height=\"701\" src=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Covergirl-chatbot.png\" alt=\"Covergirl chatbot\" class=\"wp-image-205312\" srcset=\"https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Covergirl-chatbot.png 472w, https:\/\/www.revechat.com\/wp-content\/uploads\/2021\/08\/Covergirl-chatbot-202x300.png 202w\" sizes=\"(max-width: 472px) 100vw, 472px\" \/><\/figure><\/div>\n\n\n<p><span style=\"font-weight: 400;\">Popular cosmetic brand <\/span><a title=\"CoverGirl\u2019s\" href=\"https:\/\/www.covergirl.com\/en_us\/about-us.html\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">CoverGirl\u2019s<\/span><\/a><span style=\"font-weight: 400;\"> influencer chatbot is a good example of how a chatbot with sentiment analysis capability can easily be smart, funny, and responsive. Apart from being able to identify customer intent, It has earned positive sentiments and can drive 17 messages per conversation.&nbsp;<\/span><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>How does sentiment analysis help drive conversations?<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><b>Bots can deconstruct the comments on social channels<\/b><span style=\"font-weight: 400;\">, know the intent, and then come up with the right words or offers which can keep the conversations relevant to customers.<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Bots that are built with sentiment analysis can change their responses to <\/span><b>sympathize with the emotions of customers<\/b><span style=\"font-weight: 400;\"> as this can boost the experience.\u00a0<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">When the user sentiment is analyzed, it can always prepare the <\/span><b>support team to be aware of issues<\/b><span style=\"font-weight: 400;\"> beforehand and then take the appropriate action immediately.\u00a0<\/span><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span style=\"font-weight: 400;\">Limitations with Chatbot Sentiment Analysis&nbsp;<\/span><\/h2>\n\n\n\n<p><span style=\"font-weight: 400;\">Sentiment analysis can indeed make bots very powerful and enhance their capabilities in a huge way to ensure improved customer satisfaction. However, there are some limitations to it which is why the adoption of conversational AI is yet to go on a full scale.&nbsp;<\/span><span style=\"font-weight: 400;\">&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Some of the limitations of bots sentiment analysis are;&nbsp;<\/span><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><b>Sarcastic text<\/b><span style=\"font-weight: 400;\"> &#8211; The use of sarcasm in texts can cheat the sentiment analysis models as bots always find it hard to successfully decode sentences that often carry negative meanings yet use positive words.\u00a0\u00a0<\/span><\/li>\n\n\n\n<li><b>Word ambiguity<\/b><span style=\"font-weight: 400;\"> &#8211; Words may have different meanings depending upon the context or sentence, so the polarity of some words will always be hard for bots to decide using sentiment analysis.\u00a0<\/span><\/li>\n\n\n\n<li><b>Multipolarity in sentences<\/b><span style=\"font-weight: 400;\"> &#8211; Chatbot sentiment analysis fails to accurately understand the sentiment of sentences or documents that exhibit multipolarity and may fail to give a clear picture of what it denotes.\u00a0<\/span><\/li>\n\n\n\n<li><b>Repetition<\/b><span style=\"font-weight: 400;\"> &#8211; Bots sometimes can go on offering the same answers to customers even when the question is rephrased and this could happen in cases where the use of sentiment analysis fails to detect the query in a perfect manner.\u00a0<\/span><\/li>\n\n\n\n<li><b>Lack of empathy<\/b><span style=\"font-weight: 400;\"> &#8211; <a title=\"Chatbots for customer support\" href=\"https:\/\/www.revechat.com\/blog\/customer-service-chatbots\/\" target=\"_blank\" rel=\"noopener\">Chatbots for customer support<\/a> can not empathize with a customer in the way a human agent does and even the best of sentiment analysis will never be sufficient to train the machine to respond to certain situations as a real person can.\u00a0<\/span>\u00a0<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span style=\"font-weight: 400;\">Enhance Customer Experience with Adoption of Chatbot Sentiment Analysis&nbsp;<\/span><\/h2>\n\n\n\n<p><span style=\"font-weight: 400;\">The adoption of artificial intelligence in general, and sentiment analysis in particular, has made bots quite advanced and capable of adding value to the support team. Now you can trust a machine to improve customer experience with your brand and redefine the meaning of support in a big way.&nbsp;<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">And if your bot is properly trained in sentiment analysis, it can even make the human agent redundant to some extent without allowing any adverse impact to customer experience. So, invest in ML and NLP to give your business the much-needed edge on the back of improved customer service. <\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chatbots are gradually becoming more sophisticated as they can now adapt to new AI features with ease.&nbsp;&nbsp; You can also expect them to recognize user intent efficiently, decode the mood of users instantly, and drive the flow of conversations in tune with customer\u2019s emotions.&nbsp; And sentiment analysis is one such feature that makes bots even [&hellip;]<\/p>\n","protected":false},"author":23,"featured_media":205301,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[295],"tags":[823],"class_list":["post-205299","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-chatbots","tag-chatbot-sentiment-analysis"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.revechat.com\/wp-json\/wp\/v2\/posts\/205299","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.revechat.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.revechat.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.revechat.com\/wp-json\/wp\/v2\/users\/23"}],"replies":[{"embeddable":true,"href":"https:\/\/www.revechat.com\/wp-json\/wp\/v2\/comments?post=205299"}],"version-history":[{"count":5,"href":"https:\/\/www.revechat.com\/wp-json\/wp\/v2\/posts\/205299\/revisions"}],"predecessor-version":[{"id":303774,"href":"https:\/\/www.revechat.com\/wp-json\/wp\/v2\/posts\/205299\/revisions\/303774"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.revechat.com\/wp-json\/wp\/v2\/media\/205301"}],"wp:attachment":[{"href":"https:\/\/www.revechat.com\/wp-json\/wp\/v2\/media?parent=205299"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.revechat.com\/wp-json\/wp\/v2\/categories?post=205299"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.revechat.com\/wp-json\/wp\/v2\/tags?post=205299"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}