Analysis of Women Safety in Public Places Using Machine Learning on Tweets

Abstract

Now-a-days women are experiencing lots of violence such as harassment in places in several cities. This starts from stalking which then leads to abusive harassment or also called abuse assault. This research paper basically focuses on the role of social media in promoting the safety of women in several cities with special reference to the role of social media websites and applications including Twitter platform Facebook and Instagram. Tweets on Twitter which typically contains pictures and text and furthermore composed messages and statements which centres around the security of ladies in different urban areas can be utilized to peruse a message among the Youth Culture and instruct individuals to make exacting move and rebuff the individuals to make exacting moves and rebuff the individuals who disturb the ladies. Applying various machine learning algorithms on tweets, and performing analysis on them to classify them into neutral, negative, and positive can help us improve the situation.