关键词: 敏感触发事件, 词性序列, 敏感信息识别, 文本相似度

Abstract:

Aiming at the problem of false negatives and false positives caused by the context of contextual context and keyword part-of-speech, this paper proposes a method（STEAP） to improve the recognition of text-sensitive information. It constructs a terrorism sensitive dictionary. Through sensitive triggering, the extraction of events constructs a sequence of sensitive trigger events, and combines the sensitive trigger events and the part of speech of the keywords to assign weights to the information to be identified. It calculates the similarity of the constructed trigger event with the word vector and the terrorism sensitive dictionary, and combines the weights to obtain the sensitivity of the text. Experimental results show that compared with the traditional sensitive information recognition method, the STEAP method can effectively identify the sensitive information in the text, and the accuracy is improved.

Key words: sensitive trigger events, part of speech sequence, sensitive information recognition, text similarity