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Computing Attitude and Affect in Text: Theory and Applications (Paperback, 2006 ed.) Loot Price: R4,460
Discovery Miles 44 600
Computing Attitude and Affect in Text: Theory and Applications (Paperback, 2006 ed.): James G. Shanahan, Yan Qu, Janyce Wiebe

Computing Attitude and Affect in Text: Theory and Applications (Paperback, 2006 ed.)

James G. Shanahan, Yan Qu, Janyce Wiebe

Series: The Information Retrieval Series, 20

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Loot Price R4,460 Discovery Miles 44 600 | Repayment Terms: R418 pm x 12*

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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.

General

Imprint: Springer
Country of origin: Netherlands
Series: The Information Retrieval Series, 20
Release date: October 2014
First published: 2006
Editors: James G. Shanahan • Yan Qu • Janyce Wiebe
Dimensions: 235 x 155 x 19mm (L x W x T)
Format: Paperback
Pages: 341
Edition: 2006 ed.
ISBN-13: 978-9400792579
Categories: Books > Reference & Interdisciplinary > Library & information sciences > General
Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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LSN: 9400792573
Barcode: 9789400792579

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