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Algorithm to Monitor Suspicious Activity on Social Networking Sites using Data Mining Techniques
Author(s) -
Suhas Pandhe,
Sahil Pawar
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/20391-2670
Subject(s) - computer science , data science , data mining , world wide web , information retrieval
today's world social networks have become a platform to express opinions or feelings related to current events or any other topics. But sometimes provocative posts related to renowned people, religion, sexuality, countries or any other sensitive topics create havoc in the society. Such posts must be administered and removed before they spread and hurt people's feelings resulting into tension in the society and possible riots. This paper discusses about the techniques to identify such suspicious posts and report them to curb the spread of provoking posts.

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