Subjects: Library Science，Information Science >> Information Science submitted time 2017-10-11 Cooperative journals: 《数据分析与知识发现》
Abstract： [Objective] This study aims to explore the relationship between the user tags and microblog post topics, with the purpose of improving subject identification and automatic tag recommendation services. [Methods] We first used crawlers to retrieve user profiles and posts in the field of “natural language processing” from the Sina Weibo. Second, extracted words from the posts and semantically extended user tags. Finally, matched the tags and posts by the edit distance algorithm. [Results] There was correlation between user tags and posts in natural language processing field. [Limitations] We only studied one academic field and the Sina Weibo, more research is needed in the future to generalize the results. [Conclusions] The tag recommendation system can use microblog posts as an
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