4
Extracting Sentiments from Product Reviews
Deciphering the emotional tone behind a sequence of words finds extensive utility in analyzing survey responses, customer feedback, or product reviews. In particular, the advent of social networks offered new possibilities for people to instantly express their opinions on various issues. Therefore, it is not surprising that many shareholders—such as companies, academia, or government—aim to exploit public opinion on various topics and acquire valuable insight.
This chapter focuses on another typical problem in natural language processing (NLP): the extraction of sentiment from a piece of text. For this reason, we incorporate an open source dataset with customer reviews from the Amazon online store. ...
Get Machine Learning Techniques for Text now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
