A REVIEW: TYPE SPECIFICATION BASED VIDEO SPAM DETECTION

Video sharing websites are most popular services for share video among the number of users. These websites also connect with different kind of users known as social networking Web Services. But in these services, there are different kinds of pollution related to the video such as uploading of malicious, copyright violated and spam video or content. The users upload the video for the particular ca tegory and viewers/responders response the video by commenting, share video related to the uploaded video but malicious users does not share related video. The users share the unrelated information, abusive or pornographic, commercial video or it can be au tomatically scripts. These videos are the responsive videos. This research work presents a method for detection of such kind of responses. The first phase of detection is to divide the problem in different scenarios and define the keywords in database whic h can be related to commercial and pornographic. The sample dataset will contain all the information and video for analysis of the videos and categorized as per content type. The different kind of techniques will identify the video and with some features s uch as presence of certain terms in the title or description, Likes, elapsed time, uploaded time, etc. The different kind of videos data collection will be considered for analysis the algorithm and corresponding result will be generated. The research will be demonstrated using MATLAB TOOL which will contains the sample videos for Analyze the spam detection, porn video and commercial videos. The website will also save the keywords and these words will be update frequently and remove outdated words for improv ed detection of videos