Efficient Mining of Criminal Networks from Unstructured Textual Documents

Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Networking
Format: PDF
Digital data unruffled for forensics analysis often contain expensive information about the suspects' social networks. However, most collected records are in the form of amorphous textual data, such as e-mails, chat messages, and text documents. An investigator often has to manually extract the useful information from the text and then enter the important pieces into a structured database for further investigation by using various criminal network analysis tools. Obviously, this information extraction process is monotonous and error-prone.

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