Research on Topic Detection Technology for Information Security Texts

In order to obtain and understand the information and topics of network information security more accurately and effectively from the massive information texts of the Internet, topic detection technology is used to realize the topic detection of information security texts. According to the characteristics of information security text, before the clustering, the information security text is filtered, the feature words are extracted based on the semantics, and the filtered text features are abstracted into vectors. Then, through a Birch clustering algorithm based on weighted similarity, the texts are organized according to the topics they express. The experimental results show that the above method can effectively detect the topic in the information security text.