Published Paper Details:

Social networking sites involve billions of users worldwide. User interaction with these social networking sites, such as twitter, has major and unpleasant effects from time to time in everyday life. Major social networking sites have become a platform for users to spread a lot of irrelevant and unwanted information. Twitter has become one of the best platforms of all time and the most popular small blogging service that is widely used to share mindless ideas. In this proposed project change the task of detecting public embarrassment on Twitter. Embarrassing tweets are divided into nine categories: harassment, comparisons, judgment, religious, jokes on personal matters, profanity, spam, non-spam, whataboutery and each tweet is classified into one of these types or as non-embarrassing. It is evident that of all the participating users who post comments on a particular event, most of them are likely to embarrass the victim. Interestingly, it is also a disgrace that his followers say that he climbed faster than the shameless one on Twitter.