The MONITORING SUSPICIOUS AND ILLEGAL DISCUSSION ON ONLINE FORUM

Abstract

Nowadays, people are passionate about using internet in their day to day life. This rapidly increases the usage of online forums. Online forums are nothing but a medium to share their thoughts, feelings and emotions towards specific pictures, videos and paintings etc.., It leads to happening of many legal and illegal activities. Those illegal activities are
online black money transactions, dissemination of copyright movies and usage of illegal words. The law enforcement needs a system to Handle this problem effectively. In this project we will be using the data mining techniques to analyses the suspicious and criminal activities that are happening in the forums. Our proposed system will be using the text data mining techniques like step word selection algorithm, stemming algorithm, emotional algorithm, text classification and ID3 Decision tree to analyses those suspicious activities by downloading the postings from selected discussion forums randomly and apply the above data mining techniques .all these are done using the text datamining concept and the system will decide the legal and illegal activities based on the admin instructions and will give the warning messages to the users who involved in illegal activities.