[Objective] This research proposes a method to discover city profile based on semantic mining, aiming to obtain public awareness of the city. [Methods] Firstly, we generated a description framework of the city profile with hierarchical structure based on tags similarity and agglomerative hierarchical clustering. Secondly, we calculated the importance of social tags to reveal semantic features of cities based on latent semantic mining. Finally, we filtered out social tags with high explanation degree of city profile, and integrated them with the description framework of city profile to establish the hierarchical structure. [Results] With users’ reviews from Zhihu, we established the structural city profiles of six provincial capitals from central China, which identified the public perception of these cities. [Limitations] More research is needed to extract high-quality social tags automatically and generate a better description framework for the city profiles. [Conclusions] The proposed method could extract city profiles from massive social tags and develop fine-grained descriptions.
毕崇武,叶光辉,李明倩,曾杰妍. 基于标签语义挖掘的城市画像感知研究 *[J]. 数据分析与知识发现, 2019, 3(12): 41-51.
Chongwu Bi,Guanghui Ye,Mingqian Li,Jieyan Zeng. Discovering City Profile Based on Tag Semantic Mining. Data Analysis and Knowledge Discovery, 2019, 3(12): 41-51.
( Li Gang, Li Yang . Decision-Oriented Intelligence Service on the Diagnosis and Treatment of the “Urban Disease”[J]. Library and Information Service, 2016,60(14):121-127.)
( Li Yang, Li Gang . Some Studies on Urban Disease from the Perspective of Intelligence Studies: New Analysis and Application[J]. Journal of Intelligence, 2016,35(7):31-36.)
[3]
林奇·凯文 . 城市的印象[M]. 项秉仁译. 北京: 中国建筑工业出版社, 1990.
[3]
( Lynch K . Impression of the City[M]. Translated by Xiang Bingren. Beijing: China Architecture & Building Press, 1990.)
[4]
Laaksonen P, Laaksonen M, Borisov P , et al. Measuring Image of a City: A Qualitative Approach with Case Example[J]. Place Branding, 2006,2(3):210-219.
[5]
Luque-Martínez T, Barrio-García S D, Ibáñez-Zapata J Á , et al. Modeling a City’s Image: The Case of Granada[J]. Cities, 2007,24(5):335-352.
( Xie Yongjun, Peng Xia, Huang Zhou , et al. Image Perception of Beijing’s Regional Hotspots Based on Microblog Data[J]. Progress in Geography, 2017,36(9):1099-1110.)
[7]
Wong C U I, Qi S . Tracking the Evolution of a Destination’s Image by Text-mining Online Reviews - the Case of Macau[J]. Tourism Management Perspectives, 2017,23:19-29.
[8]
Liu L, Zhou B L, Zhao J H , et al. C-IMAGE: City Cognitive Mapping Through Geo-tagged Photos[J]. Geo Journal, 2016,81(6):817-861.
[9]
张恒婷 . 社交网络图像垃圾标签去除研究[D]. 保定: 华北电力大学, 2012.
[9]
( Zhang Hengting . Research on Filtering Tag Spam of Social Network Images[D]. Baoding:North China Electric Power University, 2012.)
[10]
王贤兵 . 社会标注可信度评价方法研究[D]. 武汉: 华中科技大学, 2012.
[10]
( Wang Xianbing . Research on Method of Evaluating Confidence of Social Annotations[D]. Wuhan: Huazhong University of Science & Technology, 2012.)
( Yu Haipeng, Zhai Hongsheng . Applying a Subspace Clustering Algorithm in Multi-label Text Classification[J]. Computer Applications and Software, 2014,31(8):288-291.)
( Cao Gaohui, Jiao Yuying, Cheng Quan . Research on Tag Cluster Based on Hierarchical Agglomerative Clustering Algorithm[J]. New Technology of Library and Information Service, 2008(4):23-28.)
[16]
熊回香 . 面向Web3.0的大众分类研究[D]. 武汉: 华中师范大学, 2011.
[16]
( Xiong Huixiang . Research on Folksonomy Oriented to Web3.0[D]. Wuhan: Central China Normal University, 2011.)
