Sentiment Analysis of Cyber-victimized Text Detection Along With the Location on Social Media

Abstract

Nowadays the World is getting more and more dependent on the internet. In this Web 2.0 field the Social media getting popularity for its limitless usages with different features. It has become everyone’s important part of life as they start to spend more time there. So, cyber-victimization on social media has also awakened due to this. People are now being cheated, harassed, or bullied over the internet. The aim of this research work came up with the idea of monitoring or analyzing the data from a specific location or even from a specific keyword or from a specific user to find out the sentiments behind his/her posts, comments. The applications of sentiment analysis are broad and powerful in many ways. The ability to extract insights from social data is a practice that is being widely adopted by organizations across the world. Sentiment analysis is extremely useful in social media monitoring as it allows us to gain an overview of the wider public opinion behind certain topics. Being able to quickly see the sentiment behind everything from forum posts to news articles means being better able to strategize and plan for the future.