Overview
- 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)
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
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)