Text Categorization Approach For Chat Room Monitoring

The Internet has been utilized in several real life aspects such as online searching, and chatting. On the other hand, the Internet has been misused in communication of crime related matters. Monitoring of such communication would aid in crime detection or even crime prevention. This paper presents a text categorization approach for automatic monitoring of chat conversations since the current monitoring techniques are basically manual, which is tedious, costly, and time consuming. This paper presents the results of a cross method comparison between the Naive Bayes, the K-nearest neighbor, and the Support Vector Machine classifiers. The objective is to determine the most suitable method for the data of chat conversations that would automate the chat room monitoring task. Key-Words: Monitoring, Chat conversations, Internet, Machine learning, Text categorization, Artificial Intelligence, Data mining