© Dipanjan Sarkar 2019
Dipanjan SarkarText Analytics with Pythonhttps://doi.org/10.1007/978-1-4842-4354-1_9

9. Sentiment Analysis

Dipanjan Sarkar1 
(1)
Bangalore, Karnataka, India
 

In this chapter, we cover one of the most interesting and widely used aspects pertaining to natural language processing (NLP), text analytics, and machine learning. The problem at hand is sentiment analysis or opinion mining, where we want to analyze some textual documents and predict their sentiment or opinion based on the content of these documents. Sentiment analysis is perhaps one of the most popular applications of natural language processing and text analytics, with a vast number of websites, books, and tutorials on this subject. Sentiment analysis seems to work best ...

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