| Summary: | The world of sales is increasingly concerned with what customers feel, in relation to their brand or certain goods and services. Currently, special importance is given to the posts in social networks, to the feelings behind these posts. In this article I will analyze how the sentiment analysis behind some text fragments works, together with some applications. Sentiment analysis in 2022 is a constant concern for companies, marketers and people who work in sales, through its multiple forms it can be used, in recent years, to analyze a paragraph of text, to determine the feelings behind it. In order to perform this analysis, automatic learning and natural language processing are used as effective methods.
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