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| Retrieving Geographic Information for Micro-blog’s City Complaints |
Sun He1,2( ),Li Shuqin2,Lv Xueqiang1,2,Liu Kehui3,4 |
1Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology, Beijing 100101, China
2College of Computer, Beijing Information Science and Technology University, Beijing 100101, China
3School of Management and Economics Beijing Institute of Technology, Beijing 10081, China
4Beijing Research Center of Urban Systems Engineering, Beijing 100035, China |
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Abstract [Objective] This study aims to utilize the knowledge sharing and constantly updating advantages of the Question Answering Community - Baidu Zhidao, which helps us reduce the cost of maintaining large geographical relationship resource, and find the complete location information. [Methods] First, we changed the incomplete location information to the approximate area names retrieved from Baidu Zhidao. Second, extracted each area’s features and calculated scores of related geographic entities. Finally, we constructed the feature vectors for the areas with those geographic entities, which help us identify the geographic locations of these posts. [Results] The proposed method could retrieve accurate geographic information from 92.51% of City Complaints from the Micro-blog platform. [Limitations] The proposed method could not analyze posts without any geographic location information. [Conclusions] Our study found an effective and feasible way to locate the missing geographic information.
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Received: 22 September 2015
Published: 12 April 2016
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