Spam Detection in Social Media Employing Machine Learning Tool for Text Mining
作者： Sadia Sharmin , Zakia Zaman
关键词:
摘要: In recent time, online social networks have been affected by various unwanted threats. Although they provided us with an open platform to share our thoughts others, however, due misuse of this powerful resource, general users are in endangered condition. For example, YouTube has used as a promotional ground artist upload their music videos, movie trailers, etc. and viewers can post opinion on them. Unfortunately, often malicious use phishing website links, advertisements, fraudulent information the comments section, which may transmit viruses or malwares. So, these harmful need be identified order continue flawless service media. study, we implemented several classification algorithm sort out spam videos from legitimate one, performance measures analysed well ensemble classifier over single context text also highlighted.
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