Why is Sentiment Analysis Required?

In machine learning projects, we try to build applications that work, to a certain extent, similarly to a human being. We measure success in part by seeing how close our application is to matching human-level performance. Generally speaking, machine learning programs cannot exceed human-level performance by a significant margin, especially if our training data source is human generated.

Let's say, therefore, that we want to carry out sentiment analysis of product reviews. The sentiment analysis program should keep detect how reviewers feel. Of book, it is impractical for a person to read thousands of movie reviews. This is where automated sentiment analysis comes into picture. Artificial intelligence is useful when it is impractical for people to do some work. In this case, the work is reading thousands of reviews.