ANALYSIS OF WOMEN SAFETY IN INDIAN CITIES USING MACHINE LEARNING ON TWEETS

Abstract

concept to analyse women safety using social networking messages and by applying 
machine learning algorithms on it. Now-a-days almost all peoples are using social 
networking sites to express their feelings and if any women feel unsafe in any area 
then she will express negative words in her post/tweets/messages and by analysing 
those messages we can detect which area is more unsafe for women’s.Women and 
girls have long been subjected to various forms of violence and harassment in public 
spaces, ranging from stalking to sexual harassment and assault. This research paper 
delves into the crucial role of social media platforms in promoting the safety of 
women in Indian cities, with a specific focus on platforms like Twitter, Facebook, and 
Instagram. By harnessing the power of social media, this paper aims to explore how 
these platforms can be utilized to cultivate a sense of responsibility within Indian 
society, encouraging individuals to prioritize the safety of women in their 
communities. 
Central to this investigation is the utilization of Twitter as a medium for fostering 
dialogue and raising awareness about women's safety issues. Tweets on Twitter, often 
comprising images, text, messages, and quotes, serve as potent tools for disseminating 
messages amongst the Indian youth culture. By spotlighting the experiences and 
concerns of women in Indian cities, these tweets aim to educate and empower 
individuals to take proactive measures and advocate for the rights of women. 
Moreover, the proliferation of hashtag messages on Twitter amplifies the reach of  these discussions, transcending geographical boundaries and serving as a global 
platform for women to voice their perspectives on safety concerns.