Editors:
- A seminal collection of work on computing attitude, affect, and sentiment
- A balance of conceptual models, computational models, and applications
- Cross-disciplinary, catering to a broad audience
- Accessible not only to experts, but also to advanced undergraduate students and practitioners in information technology
Part of the book series: The Information Retrieval Series (INRE, volume 20)
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Table of contents (24 chapters)
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Front Matter
About this book
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)
Editors and Affiliations
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Clairvoyance Cooperation, Pittsburgh, USA
James G. Shanahan, Yan Qu
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University of Pittsburgh, USA
Janyce Wiebe
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
DOI: https://doi.org/10.1007/1-4020-4102-0
Publisher: Springer Dordrecht
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media B.V. 2006
Hardcover ISBN: 978-1-4020-4026-9Published: 22 November 2005
Softcover ISBN: 978-94-007-9257-9Published: 21 October 2014
eBook ISBN: 978-1-4020-4102-0Published: 17 January 2006
Series ISSN: 1871-7500
Series E-ISSN: 2730-6836
Edition Number: 1
Number of Pages: XVI, 341
Topics: Information Storage and Retrieval, Library Science, Computer Science, general, Information Systems Applications (incl. Internet), Artificial Intelligence, Natural Language Processing (NLP)