Computing Attitude and Affect in Text: Theory and Applications

Editors:

ISBN: 978-1-4020-4026-9 (Print) 978-1-4020-4102-0 (Online)

Table of contents (24 chapters)

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  1. No Access

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    Pages 1-10

    Contextual Valence Shifters

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    Pages 11-22

    Conveying Attitude with Reported Speech

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    Pages 23-31

    Where Attitudinal Expressions Get their Attitude

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    Pages 33-39

    Analysis of Linguistic Features Associated with Point of View for Generating Stylistically Appropriate Text

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    Pages 41-47

    The Subjectivity of Lexical Cohesion in Text

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    Pages 49-60

    A Weighted Referential Activity Dictionary

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    Pages 61-76

    Certainty Identification in Texts: Categorization Model and Manual Tagging Results

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    Pages 77-91

    Evaluating an Opinion Annotation Scheme Using a New Multi-Perspective Question and Answer Corpus

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    Pages 93-107

    Validating the Coverage of Lexical Resources for Affect Analysis and Automatically Classifying New Words along Semantic Axes

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    Pages 109-124

    A Computational Semantic Lexicon of French Verbs of Emotion

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    Pages 125-141

    Extracting Opinion Propositions and Opinion Holders using Syntactic and Lexical Cues

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    Pages 143-158

    Approaches for Automatically Tagging Affect: Steps Toward an Effective and Efficient Tool

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    Pages 159-169

    Argumentative Zoning for Improved Citation Indexing

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    Pages 171-185

    Politeness and Bias in Dialogue Summarization: Two Exploratory Studies

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    Pages 187-198

    Generating More-Positive and More-Negative Text

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    Pages 199-214

    Identifying Interpersonal Distance using Systemic Features

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    Pages 215-231

    Corpus-Based Study of Scientific Methodology: Comparing the Historical and Experimental Sciences

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    Pages 233-246

    Argumentative Zoning Applied to Critiquing Novices’ Scientific Abstracts

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    Pages 247-263

    Using Hedges to Classify Citations in Scientific Articles

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    Book Chapter

    Pages 265-279

    Towards a Robust Metric of Polarity

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