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Using Pointwise Mutual Information to Identify Implicit Features in Customer Reviews

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Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead (ICCPOL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4285))

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Abstract

This paper is concerned with automatic identification of implicit product features expressed in product reviews in the context of opinion question answering. Utilizing a polarity lexicon, we map each adjectives in the lexicon to a set of predefined product features. According to the relationship between those opinion-oriented words and product features, we could identify what feature a review is regarding without the appearance of explicit feature nouns or phrases. The results of our experiments proved the validity of this method.

This work was supported by National Natural Science Foundation of China (No. 60435020, No.60675035).

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Author information

Authors and Affiliations

  1. Institute of Computational Linguistics, School of Electronic Engineering, and Computer Science, Peking University, 100871, Beijing, China

    Qi Su, Kun Xiang, Houfeng Wang, Bin Sun & Shiwen Yu

Authors
  1. Qi Su
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  2. Kun Xiang
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  3. Houfeng Wang
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  4. Bin Sun
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  5. Shiwen Yu
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Editor information

Editors and Affiliations

  1. Graduate School of Information Science, Nara Institute of Science and Technology, 630-0192, Takayama, Ikoma, Nara, Japan

    Yuji Matsumoto

  2. Dept of ECE, University of Illinois at Urbana Champaign, IL 61801, Urbana, USA

    Richard W. Sproat

  3. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

    Kam-Fai Wong

  4. State Key Lab of Intelligent Tech. & Sys., Tsinghua University,  

    Min Zhang

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© 2006 Springer-Verlag Berlin Heidelberg

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Su, Q., Xiang, K., Wang, H., Sun, B., Yu, S. (2006). Using Pointwise Mutual Information to Identify Implicit Features in Customer Reviews. In: Matsumoto, Y., Sproat, R.W., Wong, KF., Zhang, M. (eds) Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead. ICCPOL 2006. Lecture Notes in Computer Science(), vol 4285. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11940098_3

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  • DOI: https://doi.org/10.1007/11940098_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49667-0

  • Online ISBN: 978-3-540-49668-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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