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How to use social media sentiment analysis?

How to use social media sentiment analysis?

Thu, 06 May 2021

Social media sentiment analysis is a fairly recent tool for social media marketing. This is possibly one of the reasons why many social media executives often don’t see the value of measuring social media sentiment. Social media analytics gives you critical information about your success in social media marketing. Talk about metrics in social media like: Engagement rate Social media reach Number and type of interactions Social media shares What is social media sentiment analysis? Social media sentiment analysis determines whether the consumer is talking positively, negatively, or neutrally about your company. To this end, algorithms for the study of social media sentiment apply natural language processing (NLP) to social mentions from different social media sources. Analyzing social media sentiment lets you calculate the temperature around your online activities. You may look at the feelings surrounding your brand as a whole, or calculate the feelings created by specific social media campaigns, products, or services. How does sentiment analysis work? Sentiment analysis looks at every word and analyzes its meaning. A suitable algorithm for evaluating social media sentiment categorizes the mentions in the right group. Analysis of social media sentiment uses several groundbreaking algorithms of deep learning and analyzes the text shared online. Texts with similar meanings to humans should also have similar meanings to algorithms for social media sentiment. Therefore, the algorithm can identify synonyms and add proper feelings. The algorithm still has its disadvantages but it’s getting better thanks to deep learning. Moreover, when it comes to customer feedback and social media posts sarcasm is not so simple. How can social media sentiment analysis benefit your business? We established that social media sentiment analysis should be an essential part of marketing analysis. It will add a qualitative context to your quantitative data. Improved customer service Prevent social media crises Measure the results of a social media campaign Monitor your competitors Improve your product according to your customers’ needs