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Volumn 48, Issue , 2011, Pages

Wikipedia-based topic clustering for microblogs

Author keywords

Cluster labeling; Microblog search; Topic clustering; Topic detection; Wikipedia

Indexed keywords


EID: 84861436687     PISSN: None     EISSN: 15508390     Source Type: Journal    
DOI: 10.1002/meet.2011.14504801186     Document Type: Conference Paper
Times cited : (21)

References (28)
  • 1
    • 8644279317 scopus 로고    scopus 로고
    • Introduction to topic detection and tracking
    • James Allan, Ed., Kluwer Academic Publishers
    • Allan, James. (2002). Introduction to Topic Detection and Tracking. The Kluwer International Series on Information Retrieval, James Allan, (Ed.), 1-16. Kluwer Academic Publishers.
    • (2002) The Kluwer International Series on Information Retrieval , pp. 1-16
    • Allan, J.1
  • 3
    • 0142030258 scopus 로고    scopus 로고
    • A taxonomy of web search
    • ACM. doi: 10.1145/792550.792552
    • Broder, A. (2002). A Taxonomy of Web Search. SIGIR Forum, 36(2), 3-10. ACM. doi: 10.1145/792550.792552.
    • (2002) SIGIR Forum , vol.36 , Issue.2 , pp. 3-10
    • Broder, A.1
  • 5
    • 77953984854 scopus 로고    scopus 로고
    • Short and tweet: Experiments on recommending content from information streams
    • ACM. doi: 10.1145/1753326.1753503
    • Chen, J., Nairn, R., Nelson, L., Bernstein, M., & Chi, E. H. (2010). Short and Tweet: Experiments on Recommending Content from Information Streams. Scanning, 1185-1194. ACM. doi: 10.1145/1753326.1753503.
    • (2010) Scanning , pp. 1185-1194
    • Chen, J.1    Nairn, R.2    Nelson, L.3    Bernstein, M.4    Chi, E.H.5
  • 8
    • 79960319229 scopus 로고    scopus 로고
    • Discovering context: Classifying tweets through a semantic transform based on wikipedia
    • Springer
    • Genc, Y., Sakamoto, Y., & Nickerson, J. V. (2011). Discovering Context: Classifying Tweets through a Semantic Transform based on Wikipedia. Human Computer Interaction International. Springer.
    • (2011) Human Computer Interaction International
    • Genc, Y.1    Sakamoto, Y.2    Nickerson, J.V.3
  • 10
    • 51849117366 scopus 로고    scopus 로고
    • Overview of INEX 2007 link the wiki track
    • Springer Berlin Heidelberg. doi: 10.1007/978-3-540-85902-4-32
    • Huang, D., Xu, Y., Trotman, A., & Geva, S. (2008). Overview of INEX 2007 Link the Wiki Track. Focused Access to XML Documents. Springer Berlin Heidelberg. doi: 10.1007/978-3-540-85902-4-32.
    • (2008) Focused Access to XML Documents
    • Huang, D.1    Xu, Y.2    Trotman, A.3    Geva, S.4
  • 11
    • 36049012687 scopus 로고    scopus 로고
    • Text document clustering based on frequent word meaning wequences
    • doi: 10.1016/j.datak.2007.08.001
    • Li, Y., Chung, S., & Holt, J. (2008). Text Document Clustering based on Frequent Word Meaning Wequences. Data & Knowledge Engineering, 64(1), 381-404. doi: 10.1016/j.datak.2007.08.001.
    • (2008) Data & Knowledge Engineering , vol.64 , Issue.1 , pp. 381-404
    • Li, Y.1    Chung, S.2    Holt, J.3
  • 12
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • L. M. L. Cam & J. Neyman Eds., University of California Press
    • MacQueen, J. B. (1967). Some Methods for Classification and Analysis of Multivariate Observations. In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam & J. Neyman (Eds.), 281-297. University of California Press.
    • (1967) Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability , pp. 281-297
    • MacQueen, J.B.1
  • 13
    • 78651294461 scopus 로고    scopus 로고
    • Discovering users' topics of interest on twitter: A first look
    • D. Lopresti, C. Ringlstetter, S. Roy, K. Schulz, & L. V. Subramaniam Eds., New York, NY, USA: ACM. doi: 10.1145/1871840.1871852
    • Michelson, M., & Macskassy, S. A. (2010). Discovering Users' Topics of Interest on Twitter: A First Look. In Proceedings of the fourth workshop on Analytics for noisy unstructured text data (AND'10), D. Lopresti, C. Ringlstetter, S. Roy, K. Schulz, & L. V. Subramaniam (Eds.), 73-80. New York, NY, USA: ACM. doi: 10.1145/1871840.1871852.
    • (2010) Proceedings of the Fourth Workshop on Analytics for Noisy Unstructured Text Data (AND'10) , pp. 73-80
    • Michelson, M.1    Macskassy, S.A.2
  • 17
    • 77950892859 scopus 로고    scopus 로고
    • Is it really about me? Message content in social awareness streams
    • M. Ac Eds., ACM. doi: 10.1145/1718918.1718953
    • Naaman, M., Boase, J., & Lai, C. (2010). Is it Really About Me? Message Content in Social Awareness Streams. In ACM 2010 Conference on Computer Supported Cooperative Work, M. Ac (Eds.), 189-192. ACM. doi: 10.1145/1718918.1718953.
    • (2010) ACM 2010 Conference on Computer Supported Cooperative Work , pp. 189-192
    • Naaman, M.1    Boase, J.2    Lai, C.3
  • 20
    • 0001454867 scopus 로고
    • On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling
    • doi:10.1080/14786440009463897
    • Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, Series 5 50(302):157-175. doi:10.1080/14786440009463897
    • (1900) Philosophical Magazine, Series 5 , vol.50 , Issue.302 , pp. 157-175
    • Pearson, K.1
  • 21
    • 57349117605 scopus 로고    scopus 로고
    • Learning to classify short and sparse text & web with hidden topics from large-scale data collections
    • ACM. doi: 10.1145/1367497.1367510
    • Phan, X.-H., Nguyen, L.-M., & Horiguchi, S. (2008). Learning to Classify Short and Sparse Text & Web with Hidden Topics from Large-Scale Data Collections. In Proceeding of the 17th international conference on World Wide Web WWW 08, 91. ACM. doi: 10.1145/1367497.1367510.
    • (2008) Proceeding of the 17th International Conference on World Wide Web WWW , vol.8 , pp. 91
    • Phan, X.-H.1    Nguyen, L.-M.2    Horiguchi, S.3
  • 22
    • 84948481845 scopus 로고
    • Program, K. S. Jones & P. Willet, Eds., doi: 10.1108/ 00330330610681286
    • Porter, M. F. (1980). An algorithm for suffix stripping. Program, K. S. Jones & P. Willet, (Eds.), 14(3), 130-137. doi: 10.1108/00330330610681286.
    • (1980) An Algorithm for Suffix Stripping , vol.14 , Issue.3 , pp. 130-137
    • Porter, M.F.1
  • 24
    • 79952436810 scopus 로고    scopus 로고
    • TwitterSearch: A comparison of microblog search and web search
    • Hong Kong: ACM
    • Teevan, J., Ramage, D., & Morris, M. R. (2011). TwitterSearch: A Comparison of Microblog Search and Web Search. WSDM'11, 35-44. Hong Kong: ACM.
    • (2011) WSDM'11 , pp. 35-44
    • Teevan, J.1    Ramage, D.2    Morris, M.R.3
  • 25
    • 0010063566 scopus 로고
    • Who belong in the family?
    • Thorndike, R. (1953). Who Belong in the Family? Psychometrika, 18, 267-276.
    • (1953) Psychometrika , vol.18 , pp. 267-276
    • Thorndike, R.1
  • 27
    • 0033423641 scopus 로고    scopus 로고
    • Models in information behaviour research
    • doi: 10.1108/EUM0000000007145
    • Wilson, T. D. (1999). Models in Information Behaviour Research. Journal of Documentation, 55(3), 249-270. doi: 10.1108/EUM0000000007145.
    • (1999) Journal of Documentation , vol.55 , Issue.3 , pp. 249-270
    • Wilson, T.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.