July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Sentiment analysis
Sentiment analysis is all about evaluating the reviews of your customers and categorizing them into positive, negative, and neutral categories:
- For this kind of system, your dataset contains user reviews so user writing generally contains casual language.
- The data contains informal language so we need to remove stop words such as Hi, Hey, Hello, and so on. We do not use Hi, Hey, How are u? to conclude whether the user review is positive, negative, or neutral.
- Apart from that, you can remove the repeated reviews.
- You can also preprocess data by using word tokenization and lemmatization.
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