March 2019
Intermediate to advanced
642 pages
22h 54m
English
Content preview from Python Machine Learning Cookbook - Second Edition
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Building a text classifier
The main aim of text classification is to sort text documents into different classes. This is a vital analysis technique in NLP. We will use a technique that is based on a statistic called tf-idf, which stands for term frequency-inverse document frequency. This is an analysis tool that helps us to understand how important a word is to a document in a set of documents. This serves as a feature vector that's used to categorize documents.
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