Paper Title :FUHM: A System to Filter Undesired Hindi Messages from OSN Users Wall

Author :Savitha Mathapati, Gajanand Sharma, S H Manjula, Venugopal K R

Article Citation :Savitha Mathapati ,Gajanand Sharma ,S H Manjula ,Venugopal K R , (2017 ) " FUHM: A System to Filter Undesired Hindi Messages from OSN Users Wall " , International Journal of Management and Applied Science (IJMAS) , pp. 47-53, Volume-3,Issue-8

Abstract : Online Social Networks (OSN) are popularly used for sharing data, information or knowledge among the people having similar interests. Todays OSN like, Facebook classifies the messages based on sender’s relationship with the receiver. The challenge is to give OSN users the ability to filter a message posted on their own private space based on its content, like blocking a political message. In this paper, we propose Filtering Undesired Hindi Messages (FUHM) Algorithm that allows users to define their own filtering criteria for messages posted on their wall. This is attained by a rule based system and a text classifier. Time taken in classification process adds to the efficiency of overall system. Proposed algorithm is time efficient as compare to previously available methods as we use multiclass classification, classifying mes-sage into different categories in one step. Keywords - Content Based Filtering, Message Filtering, Naive Baye’s Classifier, Online Social Network, Text Classi- Fication

Type : Research paper

Published : Volume-3,Issue-8

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