A Study on Effective analysis of Machine Learning algorithm towards the Women’s safety in Social Media
D. Madhubala, M. Rajendiran, D. Elangovan · 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) · 2020
Social media is the most challenging one for analyzing the text and the social media application is a tool for expressing the opinion without facing any fear. At the same time, there will be a lot of crime and violence occurs on the internet. Especially the women who are in a popular position like celebrities, politicians, and also the common people are facing the threats of violence are in social media. So they feel insecure in society. Still, there will be a problem for analyzing the text. It is very too difficult to classifying the text on social media. Through the machine learning technique, it would be done effectively. It filtered the unwanted text and then it reports to the respective office. So it will help the government to protect the women in social media. In this paper, a survey on online abuse as well as a study about sentiment analysis. According to this paper, it helps many researchers to get an idea of the sentiment analysis in social media. Similarly, the survey is done in a combination of the different techniques and also drafted drawbacks.Keywords-Support vector machine (SVM), Naive Bayes classification, Sentiment analysis, Social networking site.