{"id":51250,"date":"2020-12-22T11:48:19","date_gmt":"2020-12-22T11:48:19","guid":{"rendered":"https:\/\/www.sotrender.com\/resources\/?p=8251\/"},"modified":"2025-02-04T14:52:52","modified_gmt":"2025-02-04T13:52:52","slug":"sentiment-analysis-improve-customer-service","status":"publish","type":"knowledge_base","link":"https:\/\/www.sotrender.com\/blog\/knowledge_base\/sentiment-analysis-improve-customer-service\/","title":{"rendered":"How can I use sentiment analysis to improve customer service on social media?"},"content":{"rendered":"<p><strong>\u2139\ufe0f Note: As of January 23, 2025, the Social Inbox feature is no longer available in Sotrender.<\/strong><\/p>\n<p>Providing customer service over social media comes with so many benefits, but you have to make sure your efforts result in a happy customer. To do that, your company can make use of the right type of analysis that can track emotional charge.\u00a0 Since sentiment analysis can improve customer service on your social media channels, we recommend regularly checking the results.<\/p>\n<p><!--more--><\/p>\n<p><span style=\"font-weight: 400;\">To recap our post that defined <\/span><b><a href=\"https:\/\/www.sotrender.com\/resources\/knowledge-base\/artificial-intelligence\/what-is-sentiment-analysis\/\" target=\"_blank\" rel=\"dofollow noopener\">social sentiment in social media<\/a>, social sentiment analyzes the emotion that is best portrayed in the contents of a comment or text<\/b><span style=\"font-weight: 400;\">. However, instead of suggesting if the user feels happiness or contempt, sentiment analysis categorizes it across a spectrum divided into positive, neutral, and negative sentiment.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These sentiment categories are defined in a pretty intuitive way. Neutral sentiment doesn\u2019t have a strong positive or negative tone, or it uses both to a similar extent. Positive sentiment means that a post has uniquely positive tones, while negative sentiment indicates uniquely negative tones.<\/span><\/p>\n<h2><b>Why should I analyze social sentiment to learn more about my customer service on social media?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">As <\/span><a href=\"https:\/\/searchengineland.com\/88-consumers-trust-online-reviews-much-personal-recommendations-195803#:~:text=72%25%20Of%20Consumers%20Say%20That,73%25%20in%202013)\" target=\"_blank\" rel=\"dofollow noopener\"><span style=\"font-weight: 400;\">previous marketing research<\/span><\/a><span style=\"font-weight: 400;\"> shows, <\/span><b>consumers take reviews from other consumers pretty seriously<\/b><span style=\"font-weight: 400;\">. What your customers have to say is the most important at the end of the day.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If a restaurant had a poor rating on Google Maps, chances are you wouldn\u2019t go there since so many people didn\u2019t like the service. There\u2019s no sense in giving your money to a business that won\u2019t deliver quality results. So how can you tell when things are going well for you?\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It won\u2019t be enough for you to check the data from native social media tools. Sure, your engagement rate might tell you that many people were interacting with your profile or content, but were they outraged or ecstatic? <\/span><b>The only way to find that out is through social sentiment analysis.<\/b> In the next section, we&#8217;ll go over the ways you can use sentiment analysis to improve customer service on social media.<\/p>\n<h2><b>How can I use social sentiment analysis for social media customer service?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Actually, sentiment analysis can come in handy in a variety of situations. We\u2019ll give you a few examples of how social sentiment analysis can be used in marketing and PR on your social media profiles.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Any given comment on your posts could include:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">Customer\u2019s feedback about products,<\/span><\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-8255\" src=\"https:\/\/www.sotrender.com\/blog\/wp-content\/uploads\/2020\/12\/image2-3.png\" alt=\"Deciem responding to positive feedback about their products and services over Facebook\" width=\"500\" height=\"396\" \/><\/p>\n<ul>\n<li>Customer satisfaction with your service,<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-8257 aligncenter\" src=\"https:\/\/www.sotrender.com\/blog\/wp-content\/uploads\/2020\/12\/image3-1.png\" alt=\"Deciem responding to positive feedback from fans on Facebook\" width=\"500\" height=\"334\" \/><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">Or how likely the customer is to promote your brand to others (hint: this is one way you can get more people involved in your brand).<\/span><\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-8263 aligncenter\" src=\"https:\/\/www.sotrender.com\/blog\/wp-content\/uploads\/2020\/12\/image6-1.png\" alt=\"Negative customer experience feedback on Facebook\" width=\"501\" height=\"308\" \/><\/p>\n<p><span style=\"font-weight: 400;\">For the purposes of this article, we picked public comments found on the Deciem Facebook Page. All of the users\u2019 identifying information has been hidden to ensure their privacy.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Now, using Sotrender\u2019s sentiment detection model, there is a strong case to be made that the last comment is negative since the model shows over 80% confidence (0 means a specific type of sentiment wasn\u2019t detected, while a 1 indicates perfect confidence). We analyzed it and got the following results.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-8259 aligncenter\" src=\"https:\/\/www.sotrender.com\/blog\/wp-content\/uploads\/2020\/12\/image4-1.png\" alt=\"Sotrender's sentiment detection model analyzing a negative comment\" width=\"601\" height=\"149\" \/><\/p>\n<p><span style=\"font-weight: 400;\">So by quickly recognizing the negative sentiment in a comment, you can prioritize what comments you should answer first. Allowing negative comments to stay without any intervention could look pretty bad for your potential new clients or existing ones.\u00a0<\/span><\/p>\n<h2><b>Is there a faster way of analyzing social sentiment?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">As for automatically checking hundreds of comments at once, there is an efficient way of doing so. At Sotrender, <\/span><b>our social inbox allows you to integrate your Facebook page<\/b><span style=\"font-weight: 400;\"> in order to interact with and analyze the communication between your brand and customers. Thanks to <\/span><a href=\"https:\/\/www.sotrender.com\/resources\/knowledge-base\/social-inbox\/what-is-sentiment-analysis\/\" target=\"_blank\" rel=\"dofollow noopener\"><span style=\"font-weight: 400;\">automatic sentiment analysis<\/span><\/a><span style=\"font-weight: 400;\">, you can see which comments contain negative, neutral, or positive sentiment without having to read through all of them in great detail.<\/span><\/p>\n<div id=\"attachment_8265\" style=\"width: 745px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-8265\" class=\"wp-image-8265\" src=\"https:\/\/www.sotrender.com\/blog\/wp-content\/uploads\/2020\/12\/image7-1024x614.jpg\" alt=\"Using Sotrender's social sentiment analysis to improve customer service\" width=\"735\" height=\"441\" \/><p id=\"caption-attachment-8265\" class=\"wp-caption-text\">Social sentiment of user comments in the Sotrender application<\/p><\/div>\n<p><span style=\"font-weight: 400;\">When it comes to CS, we know that you probably have multiple CS specialists answering all of those comments on your social media. One of the problems you might have is organizing which CS specialist should take care of which comments, but this could help you make the right call. You could take the best or most experienced specialists to handle negative feedback. What\u2019s more, your marketing and sales departments could benefit from having brand ambassadors like your specialists who are great at interacting positively. <\/span><b>To send them in the right direction, you\u2019ll need a reliable filtration system.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Actually, we have that covered, too. The sentiment filters allow you to find any type of comment that you\u2019re looking for. On top of that, if you or one of your team members had doubts about a specific user\u2019s comment, then you can find it quickly and resolve it as a team.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">However, if you want to have a more in-depth analysis performed across media, then we can prepare a more comprehensive report for you.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-8253 aligncenter\" src=\"https:\/\/www.sotrender.com\/blog\/wp-content\/uploads\/2020\/12\/image1-3.png\" alt=\"Sotrender social inbox and moderation graph analyzing sentiment across social media\" width=\"599\" height=\"450\" \/><\/p>\n<p><span style=\"font-weight: 400;\">This is an example of one of the graphs that you could see with your own report. The report also includes information about comment sentiment change over time, often your CS specialists on Facebook responded with the three types of sentiment, and how quickly each CS specialist responded. You will get more information about what aspects of your CS performance can be improved, and this data isn\u2019t available when you use native tools.<\/span><\/p>\n<h2><b>Can I see if sentiment analysis results improved over time?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">I\u2019m happy to let you know that there\u2019s a report for that, and you barely have to do anything on your own. If you\u2019ve been using <\/span><a href=\"https:\/\/www.sotrender.com\/\" target=\"_blank\" rel=\"dofollow noopener\"><span style=\"font-weight: 400;\">Sotrender\u2019s social inbox<\/span><\/a><span style=\"font-weight: 400;\"> for a while, the app will have gathered data about your moderators\u2019 and users\u2019 activities on your Page. That means that it can tell you what has changed about the conversations under your posts.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is just one type of result you could expect to see in the social inbox report. You can read more about <\/span><a href=\"https:\/\/www.sotrender.com\/resources\/knowledge-base\/social-inbox\/statistics-facebook-comments\/\" target=\"_blank\" rel=\"dofollow noopener\"><span style=\"font-weight: 400;\">what is included in the report in this article<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<h2><b>Analyze multiple comments and longer periods of time<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">If you want to effortlessly find the crucial moments or posts that affected users\u2019 attitudes on your brand\u2019s social media profile, then you will need sentiment analysis. Instead of going through potentially thousands of comments over the last quarter or year by yourself, <\/span><b>you can have all of the comment sentiment statistics summarized automatically<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For example, you\u2019ll be able to analyze historical data from the moment you enabled Sotrender\u2019s social inbox. The report can include long periods of time that wouldn\u2019t be possible to analyze without this type of method of gathering data. A quick glance over the last year will tell you when exactly your positive or negative sentiment was highest. That way, you will know what content could be risky (or even a PR nightmare) and what content will have more positive reactions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Let\u2019s take a look at how the sentiment of user comments changed over time for one profile.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-8261 aligncenter\" src=\"https:\/\/www.sotrender.com\/blog\/wp-content\/uploads\/2020\/12\/image5.png\" alt=\"Sentiment analysis of user comments over time in Sotrender\" width=\"602\" height=\"358\" \/><\/p>\n<p><span style=\"font-weight: 400;\">As you can see, most of the time, the comments left on the profile were neutral last year. However, the number of negative and positive comments overlapped on a number of occasions. <\/span><b>It\u2019s in your best interest to check the posts you uploaded on those days<\/b><span style=\"font-weight: 400;\"> to see what evoked such a reaction at the time. Were you asking for feedback, did you post about a new product, or was there a PR crisis because something went wrong? Find out and learn what you can improve in your communication.<\/span><\/p>\n<h2><b>Track sentiment and keep your customers happy<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">As you can see, <\/span><b>social sentiment is more than just \u201care there unhappy people commenting on my posts\u201d<\/b><span style=\"font-weight: 400;\">. Just because there\u2019s negative feedback on a social media platform doesn\u2019t mean that your potential customers will overlook it. By staying on top of what your customers have to say on your brand\u2019s Page, you will find out what your brand is doing right and where you can improve.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You should treat social sentiment as a type of feedback from your users on social media. Remember, a PR crisis could occur at any time, and those can get out of hand without proper intervention and care.<\/span><\/p>\n<p>There you have it, that&#8217;s all you need to know about how you can make use of sentiment analysis to improve customer service!<\/p>\n<p><b><i>Want to learn more about how AI can be used for social media and marketing? Read more:<\/i><\/b><\/p>\n<ul>\n<li><a href=\"https:\/\/www.sotrender.com\/resources\/knowledge-base\/artificial-intelligence\/audience-topic-modeling\/\" target=\"_blank\" rel=\"dofollow noopener\">What can I learn about my audience&#8217;s interests through topic modeling?<\/a><\/li>\n<li><a href=\"https:\/\/www.sotrender.com\/resources\/knowledge-base\/artificial-intelligence\/emotion-recognition-images-videos\/\" target=\"_blank\" rel=\"dofollow noopener\">What is emotion recognition and how does it work on images and videos?<\/a><\/li>\n<li><a href=\"https:\/\/www.sotrender.com\/resources\/knowledge-base\/artificial-intelligence\/ai-marketing-content-strategy\/\" target=\"_blank\" rel=\"dofollow noopener\">What can AI tell me about my content strategy?<\/a><\/li>\n<\/ul>\n","protected":false},"author":131,"featured_media":51742,"template":"","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Use sentiment analysis to improve customer service on social media<\/title>\n<meta name=\"description\" content=\"Customer service on social media is a necessity these days. 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