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The Information Retrieval Series

Computing Attitude and Affect in Text: Theory and Applications

Editors: Shanahan, James G., Qu, Yan, Wiebe, Janyce (Eds.)

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About this book

Human Language Technology (HLT) and Natural Language Processing (NLP) systems have typically focused on the “factual” aspect of content analysis. Other aspects, including pragmatics, opinion, and style, have received much less attention. However, to achieve an adequate understanding of a text, these aspects cannot be ignored. The chapters in this book address the aspect of subjective opinion, which includes identifying different points of view, identifying different emotive dimensions, and classifying text by opinion. Various conceptual models and computational methods are presented. The models explored in this book include the following: distinguishing attitudes from simple factual assertions; distinguishing between the author’s reports from reports of other people’s opinions; and distinguishing between explicitly and implicitly stated attitudes. In addition, many applications are described that promise to benefit from the ability to understand attitudes and affect, including indexing and retrieval of documents by opinion; automatic question answering about opinions; analysis of sentiment in the media and in discussion groups about consumer products, political issues, etc. ; brand and reputation management; discovering and predicting consumer and voting trends; analyzing client discourse in therapy and counseling; determining relations between scientific texts by finding reasons for citations; generating more appropriate texts and making agents more believable; and creating writers’ aids. The studies reported here are carried out on different languages such as English, French, Japanese, and Portuguese. Difficult challenges remain, however. It can be argued that analyzing attitude and affect in text is an “NLP”-complete problem.

Reviews

From the reviews:

"The volume contains 24 extended versions of papers that were originally presented at the American Association for Artificial Intelligence (AAAI) … . should become an indispensable resource for anyone interested in this area. Whether the reader is more interested in the computational or the linguistic aspects of the problem-or even just the range of possible applications-this collection will broaden the perspective on the issue. For readers with no background in sentiment detection the volume can serve as an initial overview of the field … ." (Michael Gamon, Computational Linguistics, Vol. 33 (2), 2007)

 

"...this volume shines as truly presenting cutting-edge research in a specific subfield within NLP. The editors have done a fine job in aggregating full-length papers that are both interesting and informative from established researchers in the field." (from the ACM Reviews by Robert Goldberg, Queens College, NY, USA)


Table of contents (5 chapters)

  • Contextual Valence Shifters

    Livia Polanyi, Annie Zaenen

    Pages 1-10

  • A Computational Semantic Lexicon of French Verbs of Emotion

    Yvette Yannick Mathieu

    Pages 109-124

  • Politeness and Bias in Dialogue Summarization: Two Exploratory Studies

    Norton Trevisan Roman, Paul Piwek, Ariadne Maria Brito Rizzoni Carvalho

    Pages 171-185

  • Argumentative Zoning Applied to Critiquing Novices’ Scientific Abstracts

    Valéria D. Feltrim, Simone Teufel, Maria Graças V. das Nunes, Sandra M. Aluísio

    Pages 233-246

  • Using Hedges to Classify Citations in Scientific Articles

    Chrysanne Di Marco, Frederick W. Kroon, Robert E. Mercer

    Pages 247-263

Buy this book

eBook $149.00
price for USA
  • ISBN 978-1-4020-4102-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $189.00
price for USA
  • ISBN 978-1-4020-4026-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-94-007-9257-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Computing Attitude and Affect in Text: Theory and Applications
Editors
  • James G. Shanahan
  • Yan Qu
  • Janyce Wiebe
Series Title
The Information Retrieval Series
Series Volume
20
Copyright
2006
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media B.V.
eBook ISBN
978-1-4020-4102-0
DOI
10.1007/1-4020-4102-0
Hardcover ISBN
978-1-4020-4026-9
Softcover ISBN
978-94-007-9257-9
Series ISSN
1387-5264
Edition Number
1
Number of Pages
XVI, 341
Topics