A Review of Enhancing Women Safety in Social Media using Machine Learning
Konda Bhashini · International Journal of Research Publication and Reviews · 2024
Women and girls are a common victim of much violence and harassment in public places occurring in different cities, either in the form of stalking, abuse, harassment, or even direct assault.In this study, we majorly focus on analysis related to women safety across Indian cities by applying Machine Learning techniques on sourced data.We shall be using machine learning algorithms such as Random Forest Classifier (RFC), Logistic Regression (LR), Naive Bayes (NB), and Support Vector Machine (SVM) to analyze and predict the emotional state behind textual and audio data.The required data will be collected from various social media websites.Collected data will be provided to algorithms, and analysis will be carried out.Based on the analysis, texts and audios will be classified into positive, negative, and neutral categories.This counts so that we are able to predict how every individual reacts on different posts posted by women, and action is taken against people who post negative comments and abuse women.