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Genre detection of documents using hybrid techniques of machine learning

Author: 
Nihar Ranjan, Kavyashree Pushpan, Shraddha Samgir, Anjali Nair and Rutuja Murhekar
Subject Area: 
Physical Sciences and Engineering
Abstract: 

Document classification is an example of supervised machine learning. It is used to assign one or more categories to documents for making it easier to sort. Classification falls under Text mining. Complete task of text mining is to give the user, the benefit of the textual information and user could be able to perform the task of text retrieval, classification and summarization. The problem of assigning a specific category to a particular document can be done manually but when huge amount of documents exist, this task becomes practically impossible. Also, the time required to sort small amount of documents is also large compared to an automated classification system. Therefore, to reduce the manual efforts, a system is introduced that makes use of various machine learning algorithms.

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