Predicting Safeness of Women in Indian Cities using Machine Learning
P Nanditha · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2022
As we all know ladies and women area unit annoyed everyplace in each a part of the cities. ladies or lady within the country thinks about with characteristic. though she is worshiped and she or he plays several roles and however, she isn't safe. This base paper chiefly concentrate on the way to promote the characteristic for ladies’ victimization social media platforms to market women safety. Here, we tend to chiefly concentrate on twitter platform. As we all know many ladies raise their problems within the social media platform like twitter that has hash tags wherever it reaches the message to everyone seems to be one in all the most effective platform were women tell their unsafe facing publicly transport, college, work space etc. we tend to predict the characteristic however ladies feel victimization twitter knowledge whether ladies feel unsafe. Key Words: Women, safety, Sentiment analysis.