Summary

During the book of this chapter, we defined sentiment analysis as a field of NLP concerned with the automated understanding of content generated by humans. We also learned about different types of sentiment analysis and the key ideas and terms used in it. We also explored various applications where sentiment analysis is being used, and also different tools that use sentiment analysis. More importantly, we came to know how to load and train data so that our model can use it to predict sentiment.