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Computer Science - Database Management & Information Retrieval | Computing Attitude and Affect in Text: Theory and Applications (Reviews)

Computing Attitude and Affect in Text: Theory and Applications

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

2006, XVI, 341 p.

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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)

 

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