• Produktbild: Computing Attitude and Affect in Text: Theory and Applications
  • Produktbild: Computing Attitude and Affect in Text: Theory and Applications
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Computing Attitude and Affect in Text: Theory and Applications

Aus der Reihe Information Retrieval

138,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.10.2014

Abbildungen

XVI, 341 p.

Herausgeber

James G. Shanahan + weitere

Verlag

Springer Netherland

Seitenzahl

341

Maße (L/B/H)

23,5/15,5/2 cm

Gewicht

546 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-94-007-9257-9

Beschreibung

Rezension

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)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.10.2014

Abbildungen

XVI, 341 p.

Herausgeber

Verlag

Springer Netherland

Seitenzahl

341

Maße (L/B/H)

23,5/15,5/2 cm

Gewicht

546 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-94-007-9257-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Computing Attitude and Affect in Text: Theory and Applications
  • Produktbild: Computing Attitude and Affect in Text: Theory and Applications
  • Contextual Valence Shifters.- Conveying Attitude with Reported Speech.- Where Attitudinal Expressions Get their Attitude.- Analysis of Linguistic Features Associated with Point of View for Generating Stylistically Appropriate Text.- The Subjectivity of Lexical Cohesion in Text.- A Weighted Referential Activity Dictionary.- Certainty Identification in Texts: Categorization Model and Manual Tagging Results.- Evaluating an Opinion Annotation Scheme Using a New Multi-Perspective Question and Answer Corpus.- Validating the Coverage of Lexical Resources for Affect Analysis and Automatically Classifying New Words along Semantic Axes.- A Computational Semantic Lexicon of French Verbs of Emotion.- Extracting Opinion Propositions and Opinion Holders using Syntactic and Lexical Cues.- Approaches for Automatically Tagging Affect: Steps Toward an Effective and Efficient Tool.- Argumentative Zoning for Improved Citation Indexing.- Politeness and Bias in Dialogue Summarization: Two Exploratory Studies.- Generating More-Positive and More-Negative Text.- Identifying Interpersonal Distance using Systemic Features.- Corpus-Based Study of Scientific Methodology: Comparing the Historical and Experimental Sciences.- Argumentative Zoning Applied to Critiquing Novices’ Scientific Abstracts.- Using Hedges to Classify Citations in Scientific Articles.- Towards a Robust Metric of Polarity.- Characterizing Buzz and Sentiment in Internet Sources: Linguistic Summaries and Predictive Behaviors.- Good News or Bad News? Let the Market Decide.- Opinion Polarity Identification of Movie Reviews.- Multi-Document Viewpoint Summarization Focused on Facts, Opinion and Knowledge.