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J-GLOBAL ID:201502214941131971   Reference number:15A0623067

Estimation of Twitter User’s Life-area Using Area Related Terms Selected by Semi-supervised Topic Model

半教師ありトピックモデルにより選択した地域特徴語を用いたTwitterユーザの生活に関わる地域の推定
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Volume:Issue:Page: 1-13 (WEB ONLY)  Publication year: Sep. 26, 2014 
JST Material Number: U0476A  ISSN: 1882-7799  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Other information processing  ,  Artificial intelligence  ,  Information processing in general 
Reference (20):
  • Blei, D.M., Ng, A.Y., Jordan, M.I. and Lafferty, J.: Latent Dirichlet Allocation, Journal of Machine Learning Research, Vol.3, pp.993-1022 (2003).
  • Burger, J.D., Henderson, J., Kim, G. and Zarrella, G.: Discriminating Gender on Twitter, Proc. 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP'11), Edinburgh, Scotland, pp.1301-1309 (2011).
  • Cheng, Z., Caverlee, J. and Lee, K.: You Are Where You Tweet: A Content-Based Approach to Geo-locating Twitter Users, Proc. 19th ACM International Conference on Information and Knowledge Management (CIKM'10), Toronto, Canada (2010).
  • Kim, D., Kim, S. and Oh, A.: Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data, Proc. 29th International Conference on Machine Learning, Edinburgh, Scotland (2012).
  • Liu, J.S.: The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem, Journal of the American Statistical Association, Vol.89, No.427, pp.958-966 (1994).
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