A survey on different text categorization techniques for text filtration

Social Network has become an integral part of 21st Century Generation. It has touched every individual´s life in one or the other way. Daily tons of information is being shared on different social network platform. These sites provide various means for uploading and publishing the contents. These contents are being shared in various forms such as Text, Images, Videos, etc. These uploaded content may contains abusing words, explicit images which may be unsuitable for social platforms. As such there is no proper mechanism for restricting offensive contents from publishing it on these sites. These problems gave rise to an idea for our proposed approach. In our approach we are developing a prototype of social network platform in which we will apply some filtering mechanism to the uploaded contents and prevent them from publishing on social network platform. It basically focuses on text filtration and image filtration for any abusive and explicit content respectively. In this paper, we have done a survey on different text categorization techniques and algorithms used for text categorization. We started our survey by studying various text categorization techniques used for recognizing of offensive texts. Further, we studied various algorithms for implementing these techniques into our prototype.