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  • 标题:Filtering Unwanted Messages from (OSN) User Wall’s Using MLT
  • 本地全文:下载
  • 作者:Sarika.N.Zaware ; Anjiri Ambadkar ; Nishigandha Bhor
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2015
  • 卷号:4
  • 期号:3
  • 页码:793-798
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:The most common issue in today's online social networking sites are walls of user get affected and spammed by a spammer. Spam being unwanted messages, Vulgar messages etc. By observing all such issues in mind we developed software which helps to OSN user to protect their wall from spammer and software provides a direct control while posting comments on wall. we achieve this by obtaining the dataset o f user details and putting these dataset through Binary TF and Normalization, also using machine learning concepts which automatically identify and labels the comment as spam, Vulgar or legit.
  • 关键词:Machine Learning Techniques (MLT); Online ; Social Network (OSN); Term Frequency (TF); ; Spam; Filtering Wall; Cosine Similarity; ; Normalisation; and Dataset
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