8. Sentiment Analysis
Overview
This chapter introduces you to one of the most exciting applications of natural language processing—that is, sentiment analysis. You will explore the various tools used to perform sentiment analysis, such as popular NLP libraries and deep learning frameworks. You will then perform sentiment analysis on given text data using the powerful textblob library. You will load textual data and perform preprocessing on it to fine-tune the results of your sentiment analysis program. By the end of the chapter, you will be able to train a sentiment analysis model.
Introduction
In the previous chapter, we looked at text generation, paraphrasing, and summarization, all of which can be immensely useful in helping us focus ...
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