Communications of the Korean Institute of Information Scientists and Engineers (정보과학회지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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소셜 빅데이터를 활용한 의사 결정 검색 기술

  • Published : 2014.01.17
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Abstract

Keywords

References

  1. A. Angel, S. Chaudhuri, G. Das, and N. Koudas. Ranking objects based on relationships and fixed associations. In EDBT'09, pages 910-921 , 2009.
  2. J. Choi, D. Kim, S. Kim, J. Lee, S. Lim, S. Lee, and J. Kang "Consento: A New Framework for Opinion Based Entity Search and Summarization" Proceedings of the 21 st ACM International Conference on Information and Knowledge Management (CIKM 2012), Hawaii, US. Oct 29-Nov 2 2012
  3. J. Choi, D. Kim, S. Kim, J. Lee, S. Lim, S. Lee, and J. Kang. Consento: a consensus search engine for answering subjective queries. In WWW2012,pages 481- 482. ACM, 2012.
  4. S. Chakrabarti, K. Puniyani, and S. Das. Optimizing scoring functions and indexes for proximity search in type-annotated corpora. In WWW '06, pages 717-726, 2006.
  5. T. Cheng, X. Yan, and K. C.-C. Chang. Entityrank: searching entities directly and holistically. In VLDB '07, pages 387-398, 2007.
  6. K. Ganesan and C. Zhai. Opinion-based entity ranking. Information Retrieval, 15, 2012.
  7. C. Kang, S. Vadrevu, R. Zhang, R. v. Zwol, L. G. Pueyo, N. Torzec, J. He, and Y. Chang. Ranking related entities for web search queries. In WWW.'11 , pages 67-68,2011.
  8. C. Lin and Y. He. Joint sentiment/topic model for sentiment analysis. In CIKM '09, pages 375-384, New York, NY, USA, 2009. ACM.
  9. A. -M. Popescu and O. Etzioni. Extracting product features and opinions from reviews. In HLT '05, pages 339- 346, 2005.
  10. G. Qiu, B. Liu,J. Bu, and C. Chen. Opinion word expansion and target extraction through double propagation. Comput. Linguist., 37:9-27, 2011. https://doi.org/10.1162/coli_a_00034
  11. E. Riloff and J. Wiebe. Learning extraction patterns for subjective expressions. In EMNLP '03, pages 105-112, 2003.
  12. T. T. Thet, J-C. Na, and C. S. Khoo. Aspect-based sentiment analysis of movie reviews on discussion boards. Journal of Information Science, 2010.
  13. I. Titov and R. Mcdonald. A joint model of text and aspect ratings for sentiment summarization. 2008.
  14. H. Wang, Y. Lu, and C. Zhai . Latent aspect rating analysis on review text data: a rating regress ion approach. In KDD ' 10, pages 783-792, New York, NY, USA, 2010. ACM.
  15. H. Yu and V Hatzivassiloglou. Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences. In EMNLP '03, pages 129-136,2003.
  16. L. Zhuang, F. Jing, and X.-Y. Zhu. Movie review mining and summarization. In CIKM '06, pages 43-50, New York, NY, USA, 20
  17. 최재훈, 이선원, 이준규, 강재우, 웹 검색과 데이터 마이닝-현재와 미래, 정보과학회지 2011년 2월호, 제 29권 제2호, 통권 261호 84-90쪽.
  18. S. Tratz and E. Havy. A fast, accurate, non-projective, semantically-enriched parser. Tn EMNLP ' 11, pages 1257-1268, July 2011.
  19. B. Pang, L. Lee, and S. Vaithyanathan . Thumbs up?: sentiment classication using machine learning techniques. In EMNLP '02, pages 79-86, 2002.
  20. P. D. Turney. Thumbs up or thumbs down?: semantic orientation applied to unsupervised classication of reviews. In ACL '02, pages 417-424, 2002.