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New Technology of Library and Information Service  2016, Vol. 32 Issue (3): 18-24    DOI: 10.11925/infotech.1003-3513.2016.03.03
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User Tags and Microblog Posts: Case Study of Sina Weibo
Zhu Ling,Xue Chunxiang(),Zhang Chengzhi,Fu Zhu
School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China
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[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 important source to provide more personalized services, which in turn will improve the microblog content analysis.

Key wordsSubject analysis of posts      User tags      Correlation measure      Subject indexing      User modeling     
Received: 14 September 2015      Published: 12 April 2016

Cite this article:

Zhu Ling,Xue Chunxiang,Zhang Chengzhi,Fu Zhu. User Tags and Microblog Posts: Case Study of Sina Weibo. New Technology of Library and Information Service, 2016, 32(3): 18-24.

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