References
- Kim, K. R. 2012, Location Extraction from Meeting Announcements, KAIST, Master's Thesis.
- Kim, J. H; Kim, H. C; Choi, Y. S. 2010, Feature Generation of Dictionary for Named-Entity Recognition based on Machine Learning, Journal of Information Management, 41(2):31-46. https://doi.org/10.1633/JIM.2010.41.2.031
- Sin, E. K. 2005, A Study on Semantic Change of Spatial Vocabulary in Korean - focused on Locational Words, Korea University, Doctoral Thesis.
- Yang, S. W; Lee, H. Y; Wang, J. H. 2009, A Point-Of-Interest Allomorph Database Construction System, Journal of the Korean Institute of Information Scientists and Engineer, 36(3):226-235.
- Oh, S. H. 2006, Infrastructure 21 Seminar - Current Situation of Construction and Future Direction of POI Data in Korea, Korea Research Institute for Human Settlements : planning and policy, 291(1): 152-157.
- Lee, J. E; Shin, S. H; Hwang, H. S; Jeong, S. I; Kim, C. S. 2007, Service Model of Information Registration based on PoI in Life-GIS, Proc. of Korea Contents Association, Jun 16-20.
- Lee, J. W. 2008, Which Direction Is the Opposite Side? The Ambiguity of Spatial Language and Communication Problems, Journal of the Korean Geographical Society, 43(1):71-86.
- Lee, H. Y; Kim, H. Y; Jeong, B. Y; Jang, D. J; Kim, K. H. 2011, The Growth of Social Media and Evolution of Online Social Relationship, Korea Information Society Development Institute.
- Jang, B. T. 2007, Next-Generation Machine Learning Technologies, Communications of the Korean Institute of Information Scientists and Engineers, 25(3):96-107.
- Jeong, S. J. 2011, A Study on Meaning Etension of Korean Spatial Language, Kyungpook National University, Doctoral Thesis.
- Jo, S. W. 2011, Technology in Age of Big Data, Kyungpook National University, Doctoral Thesis.
- Ek, T; Kirkegaard, C; Jonsson, H; Nugues, P. 2011, Named Entity Recognition for Short Text Messages, Proc. of International Conference of the Pacific Association for Computational Linguistics, p. 178-187.
- Hong, L; Ahmed, A; Gurumurthy, S; Smola, A; Tsioutsiouliklis, K. 2012, Discovering geographical topics in the twitter stream, Proc. of the International Conference on World Wide Web, p. 769-778.
- Kumar, S; Morstatter, F; Liu, H. 2013, Twitter Data Analytics, Database Management & Information Retrieval.
- Mummidi, L. N; Krumm, J. 2008, Discovering points of interest from users' map annotations, GeoJournal, 72(3):215-227. https://doi.org/10.1007/s10708-008-9181-5
- Nagarajan, M; Gomadam, K; Sheth, A. P; Ranabahu, A; Mutharaju, R; Jadhav, A. 2009, Spatio-Temporal- Thematic Analysis of Citizen Sensor Data: Challenges and Experiences, Proc. of International Conference on Web Information Systems Engineering, p. 539-553.
- Rae, A; Popescu, A; Murdock, V; Bouchard, H. 2012, Mining the Web for Points of Interest, Proc. of International SIGIR Conference on Research and Development in Information Retrieval, p. 711-720.
- Sakaki, T; Okazaki, M; Matsuo, Y. 2010, Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors, Proc. of International Conference on World Wide Web, p. 851-860.
- Kind Korean Morpheme Analyzer, http://kkma.snu.ac.kr.
- CRFsuite, http://www.chokkan.org/software/crfsuite/benchmark.html
- Twitter Developers, https://dev.twitter.com.
- Twitter4j, http://twitter4j.org.
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