Analysis of Women Safety in Indian Cities Using Machine Learning on Tweets

Abstract

At this time, women are subjected to a significant amount of violence, such as harassment, in several locations throughout various cities. This behavior begins with stalking and then progresses to abusive harassment, which is also referred to as abusive assault. Given the special reference to the participation of many social media websites or applications like Twitter, Facebook, and Instagram platforms, the primary focus of this article is on the function of social media and how it can be utilized to promote the safety of women in India. Specifically, we examine the role that social media can play in promoting the safety of women in India. This article also focuses on building duties among ordinary people in different sections of Indian cities so that the safety of women in their immediate surroundings may be maintained. The text messages, audio data, video data, photos, smiling expressions, and hash tags that make up a Tweet are all contained inside the Twitter program. This tweet content may be used to read among the people, therefore educating them to take harsh measures in response to abusive tweets directed at women and allowing for the punishment of such persons in the event that harassment is committed. Hashtag-enabled platforms like Twitter and Instagram may be put to use to rapidly disseminate information across the whole planet and give women the confidence to openly discuss their thoughts and emotions without fear of repercussions. By doing this, we are able to determine their state of mind when they go out to work, travel on public transit, or are surrounded by unknown males, as well as whether or not they have a sense that they are safe in these situations.