Anagha R. Kulkarni

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Huge store of hidden information in text documents is available. Extracting accurate, useful information from this store is very important. Multinomial Naïve Bayes classification algorithm is effective in processing text and extracting accurate information. A new approach of assigning weights to terms based on their positional appearance is proposed. The(More)
  • Ketan Satpute, Sumedh Dhengre, +26 authors Brent Smith
  • 2017
Feels like going out, planning a party or attending an important event in your cities along with your friends and family? The chatting applications provide just a medium of discussion for planning of social events in lots of peep of notifications of conversation in inappropriate manner for planning event, texting back and forth and scrolling through endless(More)
During categorization of text documents, term weighting assigns appropriate weights to different terms. All the terms having equal weights have different contribution in deciding context of the document. This paper proposes a novel concept of associating positional context among regions for term weighting. For this, Dynamic Partitioning of text documents(More)
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