Hate speech analysis and report generation on twitter

As social media has become one of the most used media among youngsters and people, social media analytics has become a very crucial and important factor these days. Our project aims at analyzing the social media i.e. Twitter. As many people are spreading hate speech on social media, it has become necessity to analyze and keep track of these hate speeches and the users who are frequently performing hate speech This paper will give you a real-time approach to analyze the tweets on twitter based on hate speech detection and an analysis report will be generated of the users which are categorized as hateful users. In this paper we are using CNN LSTM hybrid architecture [1,2]. Also some generalized analysis of Twitter such as trending hashtags, people’s perspective about any trending topics, wordClouds on any topic and much such type of pictorial reports will be generated. This paper will provide you a systematic approach for user specific real-time hate speech report generation and analysis