Women’s Safety Analysis on social media using Machine Learning

Abstract

Some forms of harassment and violence, such as staring and making rude remarks, are considered typical in the modern city, even if they constitute a violation of civil liberties. To go anywhere in the city, whether it's to an educational institution or any other place ladies desire, is completely within their rights as citizens of the city. Because of the many unknowns in areas like malls and shopping centres, women believe they are at risk while making their way to work. These women's bodies are shamed and harassed by these men's eyes. Harassment of females occurs for a variety of reasons, chief among them being a lack of safety or the absence of tangible consequences.

The names of men and women who speak out against sexual harassment and other unethical behavior by men in Indian cities are also included in the analysis of the tweets collected from Twitter. It was decided to smooth the data by removing zero values and applying Laplace and Porter's theory, in order to develop a method of data analysis and remove retweet and redundant data from the data set that was obtained in order to provide an original and clear picture about the women safety. This is a similar study conducted by D. Kumar et al [11].