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Proposal of Deleting Plots from the Reviews to the Items with Stories

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6193))

Abstract

Recently, there are a lot of commercial web sites in which users can write reviews. Many people see the reviews of an item they are interested in. The opinions in reviews are useful when they want to measure whether a certain item is good. However, some reviews about items that contains stories (e.g. novels, movies, and computer games) have spoilers (undesirable descriptions of the story) as well as the opinions of review authors (reviewers). If users see a review involving spoilers, they might feel less interesting when you read or watch the item. We try to make a system that helps users see reviews without seeing plots.

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References

  1. Dave, K., Lawrence, S., Pennock, D.: Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews. In: Proceedings of the Twelfth International World Wide Web Conference (WWW 2003), pp. 519–528 (2003)

    Google Scholar 

  2. Hu, M., Liu, B.: Mining and Summarizing Customer Reviews. In: Proceedings of International Conference on Knowledge Discovery in Databases (KDD’04), pp. 168–177 (2004)

    Google Scholar 

  3. Morinaga, S., Yamanishi, K., Tateishi, K., Fukushima, T.: Mining Product Reputations on the Web. In: Proceedings of International Conference on Knowledge Discovery in Databases (KDD’02), pp. 341–349 (2002)

    Google Scholar 

  4. Pang, B., Lee, L.: A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. In: Proceedings of the Association for Computational Linguistics (ACL’04), pp. 271–278 (2004)

    Google Scholar 

  5. Riloff, E., Wiebe, J.: Learning Extraction Patterns for Subjective Expressions. In: Proceedings of the 2003 Conference on Emprical Methods in Natural Language Processing (EMNLP 2003), pp. 25–32 (2003)

    Google Scholar 

  6. Wilson, T., Wiebe, J., Hoffmann, P.: Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis. In: Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP 2005), pp. 347–354 (2005)

    Google Scholar 

  7. Yu, H., Hatzivassiloglou, V.: Towards Answering Opinion Questions: Separating Facts from opinions and Identifying the Polarity of Opinion Sentences. In: Proceedings of the 2003 Conference on Emprical Methods in Natural Language Processing (EMNLP 2003), pp. 129–136 (2003)

    Google Scholar 

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© 2010 Springer-Verlag Berlin Heidelberg

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Ikeda, K., Hijikata, Y., Nishida, S. (2010). Proposal of Deleting Plots from the Reviews to the Items with Stories. In: Yoshikawa, M., Meng, X., Yumoto, T., Ma, Q., Sun, L., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 6193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14589-6_35

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  • DOI: https://doi.org/10.1007/978-3-642-14589-6_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14588-9

  • Online ISBN: 978-3-642-14589-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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