关键词: 自然语言处理, 命名实体识别, 网络案情分析

Abstract: The rapid development of Internet technology brings more and more criminal activities on the Internet, it can not only provide lots of clues, but also bring great challenges to the case handlers. This paper designs and implements a cybercrime analyzing system which uses natural language processing technology to recognize the entities such as network names. According to different types of files, two different methods are adopted. One is structural analysis-based entity recognition technology, another is combination of rules and statistics-based, user-corpus-assisted entity recognition technology. Applied to the cybercrime analyzing system, it is found that it can assist case handlers to track down the criminals.

Key words: natural language processing, named entity recognition, cybercrime case analysis