Author : Miss. Kolse Snehal J. and Prof. S. D. Jhondhale

Now social media data are increases very fast. In every area, social media data play an important role in every angle. Social media big data mining area welcomed by researchers. In current web word, range of users use social media and social network to read people connected information. Dishonoring behaviour of users on social media is major problem in today’s life. It is seen that out of all remarks posted by users in a specific occasion on social media, greater part of them are probably going to embarrass the person in question. In this paper, dishonoring tweets identification and classification is carried out using machine learning algorithm. Dishonoring tweets are classify into five types: Offensive, correlation, condemning, strict/ethnic, joke on personal issue and each post/comment characterized into one of these types. At last, detection and classification of dishonoring tweets using machine learning algorithm is potential solution for online dishonor behaviour.

Keywords: Dishonoring, online user interaction, public identification, text mining, classification,machine learning,Social Media.