Publication

Abstract : Text Mining is one of the techniques used for deriving high quality of information from the text. Topic Modeling is a major task involved in text mining for finding hidden subjects from the corpus. Cyber bullying is the act of bullying people through electronic means of communication which primarily threaten the teens in a deliberate manner. In the proposed work we have taken the survey from students, blogs and YouTube comments which are fed as input to LSA and LDA for finding the cyber bullying documents. Both topic modeling techniques are designed for categorizing the cyber bullying documents from the corpus. We experimented with LSA model for document summarization and using LDA model, developed add-ons on Google Chrome to prevent the cyber bullying words. The Performance analysis is done for both LSA and LDA algorithm. Our results show that LDA performs better for documents with multiple topic distribution.