July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Document clustering
Document clustering helps you with a recommendation system. Suppose you have a lot of research papers and you don't have tags for them. You can use the k-means clustering algorithm, which can help you to form clusters as per the words appearing in the documents. You can build an application that is news categorization. All news from the same category should be combined together; you have a superset category, such as sports news, and this sports news category contains news about cricket, football, and so on.
Here, we will categorize movies into five different genres. The code credit goes to Brandon Rose. You can check out the code on this GitHub link:
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