Blocking Abusive and Analysis of Tweets in Twitter Social Network Using NLP in Real-Time

In day-to-day life, everyone need to share their thoughts, opinion, feelings and information etc., between their friends, relatives and society in fast and rapid speed of data exchange range rate for every seconds. But we cannot measure the originality of the message and message is having any false, positive or negative, castigating words or vulgar words what they share. In existing social network, Twitter Account the linguistic communication process is employed to move with the Human words and machine language to spot and to rate the comments shows whether or not the announce comment is positive or negative/neutral. During this paper, the work is predicated on sentimental analysis for rating and blocks the castigating words used by the twitter followers from their Bag of Words. Finally, Dashboard visualizing tools is employed to represent the restricted words from the announce comments of twitter followers.