SURVEY ON FEATURE SELECTION FOR TEXT CLASSIFICATION

• Author(s):

  Priyanka Mangalkar | Sunil D Kale

• Keywords:

  Feature Selection, Text Categorization, Kullback-Leibler Divergence, Jeffreys Divergence, Jeffreys-Multi-Hypothesis Divergence.

• Abstract:

  Machine Learning For Text Classification Is The Foundation Of Document Classification, News Filtering, Document Routing, And Personalization. Text Classification Is Continuing To Be A Standout Amongst The Most Researched NLP Issues Due To The Ever-increas

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Other Details

• Paper id:

  IJSARTV3I38603

• Published in:

  Volume: 3 Issue: 3 March 2017

• Publication Date:

  2017-03-21

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