International Journal of Progressive Research in Engineering Management and Science
(Peer-Reviewed, Open Access, Fully Referred International Journal)

ISSN:2583-1062
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Paper Details

SOCIAL MEDIA CONTENT FILTERING (KEY IJP************690)

  • Madhuri Palve,Shubhangi Kangane,Shubhangi Waghmare,Prof. S. M. Rokade

Abstract

Due to the recent explosion of social media usage, communication has improved significantly. People use them to keep in touch with old acquaintances, make new ones, update any significant events in their lives, etc.These media are heavily populated with spam messages as a result of their wide reach and rising popularity.The majority of spam messages are distributed at random to many recipients by dishonest advertisers and criminals who want to direct you to phishing websites.In order to identify spam in short text messages and to identify spam photos, we are applying a variety of machine learning approaches.

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