摘要：In this paper meet some problem in current Social Networks is to assign users the influence to manage the messages posted on their private space to avert that unnecessary content. The unwanted data may contain political, In social media our account is hacked with unknown person and they post fake news, for avoiding this can use a method of text analysis with based on our interest and about us, careers and before posted posts, categorized the words in black list and white list using this method 90% white list included message is post, otherwise a Onetime Password (OTP) send to the email and check the person is right person., as opposed to database applications, which use very structured data. In the implementation section use a college website and make department wise posts are posted by comparing the words with which department is posted check with dictionary of that subject, e.g. It can check the post from physics department, tokenized the post and based on that tokens that all tokens compared with physics dictionary, 90% tokens from physics that will be posted, like this method all department posts are checked and make black list and white list and checked. Through the sentiment analysis the comments posted by the users are analyzed by two categories like black list and white list. Then it checks with IP section for the first time login verification to check whether authorized person login or hacker hacks any information.
