To test the validity of our proposed framework, we worked in a joint effort with the cybercrime unit of a Canadian law enforcement agency. The crime investigator can use Information Visualizer to see the crime-related results. The proposed framework extracts the social network from chat logs and summarizes conversation into topics. In this paper, we propose a framework to analyze chat logs for crime investigation using data mining and Natural Language Processing (NLP) techniques. To combat the increasing number of criminal activities, structure and content analysis of criminal communities can provide insight and facilitate cybercrime forensics. Cybercriminals exploit the opportunities provided by the information revolution and social media to communicate and conduct underground illicit activities such as online fraudulence, cyber predation, cyberbullying, hacking, blackmailing, and drug smuggling.
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