| Summary: | [Purpose /significance] The network rumors seriously influent the spread of normal information on the internet. The purpose of this paper is to construct a sensitive lexicon on microblog rumors and to improve the recognition accuracy of the network rumors. [Method/process]According to the characteristics of microblog’s short text on social networking platforms, this paper focuses on construction of the microblog sensitive thesaurus, which is built up through LBCP algorithm and extension of multiple level words. At first, the method directly extracts words through LBCP algorithm, which considers the cohesion and polymerization of rumor words. And then, based on the core words, multiple level words are expanded to get sensitive thesaurus. [Result/conclusion] In addition to the features of the text, user characteristics, propagation characteristics, emotional analysis, and rumor features based on sensitive thesaurus are exploited. Experimental results show that the accuracy of microblog’s rumor recognition can be improved greatly based on sensitive thesaurus.
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