JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2016, Vol. 51 ›› Issue (3): 77-85.doi: 10.6040/j.issn.1671-9352.1.2015.070

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Recognition of geographical entity in city complaints of Micro-blog

SUN He1,2, LI Shu-qin2, L(¨overU)Xue-qiang1,2*, LIU Ke-hui3,4   

  1. 1. Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing 100101, China;
    2. College of Computer, Beijing Information Science and Technology University, Beijing 100101, China;
    3. School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China;
    4. Beijing Research Center of Urban Systems Engineering, Beijing 100035, China
  • Received:2015-11-14 Online:2016-03-20 Published:2016-04-07

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Abstract: Geographical entity in city complaints of Micro-blog has usually has the characteristics of complicated structure, long length, the location of detailed description. This paper presents an automatic method to recognize geographical entities through analysis complaints of Micro-blog. First of all, the method utilizes the feature repository of Micro-blog to mark features, using the conditional random field(CRF)model to identify the geographical entities. Second, according to the characteristics of Micro-blog and geographical entity, recognized data by CRF is second marked. Third, rule bank is utilized to supplementing the recognition result and correcting geographical entities, consequently, the recognition of geographical entities are implemented. At last, Experimental results on the proposed method proved to have an F-Score of 85.52%.

Key words: city complaints of Micro-blog, rule bank of Micro-blog, recognition of geographical entity, CRF

CLC Number: 

  • TP393
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