Computing Attitude and Affect in Text: Theory and Applications
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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Dordrecht :
Springer Netherlands,
2006.
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Σειρά: | The Information Retrieval Series,
20 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.