We can use sentiment analysis to predict the general emotion of a text. The goal of sentiment analysis is to identify sentiment among several posts or even in the same post where emotion is not always explicitly expressed. Companies use Natural Language Processing applications, such as sentiment analysis, to identify opinions and sentiments online to help them understand what customers think about their products and services.
For example, I love this car, or I don’t like this product and will never purchase it in the future.
Sentiment analysis understands sentiment in context to help better understand what’s behind an expressed opinion, which can be extremely relevant in understanding and driving purchasing decisions.
Study more about Natural Language Processing at Natural Language Processing Class 10