Negative Sentiment Analysis: Hate Speech Detection and Cyber Bullying
Jaya Jeswani, Vedant Bhardwaj, Bhavin Jain, Baljot Singh Kohli · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: Sentiment Analysis or opinion mining in general, is the use of natural language processing, computer linguistics and related technology used to determine whether the text data is positive, neutral or negative. Hate Speech, on the other hand is abusive or threatening speech or writing that expresses prejudice, hate and / or encourages violence towards a person or a group of persons based on their race, religion, sex, or sexual orientation. With the exponential rise in the number of people making use of social media, where tons of content is posted daily, which is visibly harmless in nature, there has been a sharp rise in hate speech as well. The need and interest for identifying and detecting hate speech on such social media platforms, especially Twitter has risen significantly, as now major firms move towards development of systems which help tackle hate speech online. This project aims to cater to the need of identifying negative tweets which promote hate speech.