Online Public Shaming Approach using Deep Learning Techniques

Public shaming on social media platforms like Twitter / Instagram Facebook etc. have recently increased from the past years. This results in affecting an individual’s social, political, mental and financial life. The impact can range mild bullying to severe depression. With growing leniency these platforms, many people started misusing opportunity by turning online hate speech. When something is posted online, it stays there forever becomes extremely hard taking out of digital world. Manually locating categorizing such comments a lengthy procedure just cannot be relied upon. To solve this challenge, automation was performed identify classify shamers. has been done using classic SVM model which worked given quantity data. negative content being discussed paper further explores deep learning system successfully pieces into proper labels. text-based Convolution Neural Network (CNN) proposed for analysis.