High precision opinion retrieval using sentiment-relevance flows

Seung Wook Lee, Jung Tae Lee, Young In Song, Hae-Chang Rim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Opinion retrieval involves the measuring of opinion score of a document about the given topic. We propose a new method, namely sentiment-relevance flow, that naturally unifies the topic relevance and the opinionated nature of a document. Experiments conducted over a large-scaled Web corpus show that the proposed approach improves performance of opinion retrieval in terms of precision at top ranks.

Original languageEnglish
Title of host publicationSIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages817-818
Number of pages2
DOIs
Publication statusPublished - 2010 Sep 1
Event33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010 - Geneva, Switzerland
Duration: 2010 Jul 192010 Jul 23

Other

Other33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010
CountrySwitzerland
CityGeneva
Period10/7/1910/7/23

Fingerprint

Experiments

Keywords

  • Opinion retrieval
  • Sentiment analysis
  • Sentiment-relevance flow

ASJC Scopus subject areas

  • Information Systems

Cite this

Lee, S. W., Lee, J. T., Song, Y. I., & Rim, H-C. (2010). High precision opinion retrieval using sentiment-relevance flows. In SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 817-818) https://doi.org/10.1145/1835449.1835631

High precision opinion retrieval using sentiment-relevance flows. / Lee, Seung Wook; Lee, Jung Tae; Song, Young In; Rim, Hae-Chang.

SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 2010. p. 817-818.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lee, SW, Lee, JT, Song, YI & Rim, H-C 2010, High precision opinion retrieval using sentiment-relevance flows. in SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 817-818, 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010, Geneva, Switzerland, 10/7/19. https://doi.org/10.1145/1835449.1835631
Lee SW, Lee JT, Song YI, Rim H-C. High precision opinion retrieval using sentiment-relevance flows. In SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 2010. p. 817-818 https://doi.org/10.1145/1835449.1835631
Lee, Seung Wook ; Lee, Jung Tae ; Song, Young In ; Rim, Hae-Chang. / High precision opinion retrieval using sentiment-relevance flows. SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 2010. pp. 817-818
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