Sentiment analysis is a term used in the fields of artificial intelligence, big data, smart data and digital transformation. It describes a method used by computers to recognise the sentiment in texts - in other words, to find out whether a tweet, product review or comment is meant to be positive, negative or neutral, for example.
Sentiment analysis is based on modern algorithms that search through huge volumes of texts and analyse their tone of voice. Companies use this technology to better understand what customers think about them, how products are received or how a marketing campaign works.
Imagine you run an online shop and receive hundreds of reviews every day. With sentiment analysis, a system automatically recognises whether your customers are satisfied or dissatisfied. For example, it reports that there are a lot of complaints about a new mobile phone cover. This allows you to react quickly and improve your offer.
Sentiment analysis is therefore a useful tool for evaluating large volumes of data and making data-based decisions without having to carry out time-consuming individual analyses.
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