WOMEN SAFETY BASED ON TWEETS BY USING MACHINE LEARNING

Authors:

K. THRILOCHANA DEVI, KOTA TARUN, KOLLURU HEMANTH RAHUL, MUNTHA VAMSI RAJ, P SUMANTH CHOWDARY

Page No: 699-704

Abstract:

Women and girls encounter violence and abuse in public places across many different nations. Today, there is a serious issue with girls protection. Social media platforms like Twitter are increasingly becoming a space for women to share their experiences and raise awareness about these issues. With the help of machine learning techniques, it is possible to analyse the tweets related to women’s safety and gain insights into patterns and trends of such incidents. In this research paper we focused on the role of social media in promoting women's safety in Indian towns. Tweets are essentially just people's views because people frequently share their tweets on Twitter in the form of voice, video, images, etc. One of the platforms where people can post their opinions openly is Twitter. Tweets about the protection of women in Indian towns can be interpreted as a call to action by polite people, and they may result in women who are in difficulty being punished

Description:

Women safety, Sentimental Analysis, Machine Learning, pre-processing

Volume & Issue

Volume-12,Issue-4

Keywords

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