Opinion Analysis

task ID: opinionanalysis

Related Papers

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Authors: nan

Publication: TIPSTER (2005)

DOI: nan

Recent systems have been developed for sentiment classification, opinion recogni- tion, and opinion analysis (e.g., detect- ing polarity and strength). We pursue an- other aspect of opinion analysis: identi- fying …...

12730

Opinion Annotation in On-line Chinese Product Reviews

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Publication: TIPSTER (2008)

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AbstractThis paper presents the design and construction of a Chinese opinion corpus based on the online product reviews. Based on the observation on the characteristics of opinion expression in Chinese …...

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Using Morphological and Syntactic Structures for Chinese Opinion Analysis

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Publication: TIPSTER (2009)

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This paper employs morphological struc- tures and relations between sentence seg- ments for opinion analysis on words and sentences. Chinese words are classified into eight morphological types by two proposed …...

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Construction of a Chinese Opinion Treebank

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

AbstractIn this paper, we base on the syntactic structural Chinese Treebank corpus, construct the Chinese Opinon Treebank for the research of opinion analysis. We introduce the tagging scheme and develop …...

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Towards Building Annotated Resources for Analyzing Opinions and Argumentation in News Editorials

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Publication: TIPSTER (2010)

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AbstractThis paper describes an annotation scheme for argumentation in opinionated texts such as newspaper editorials, developed from a corpus of approximately 500 English texts from Nepali and international newspaper sources. …...

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A Database of Attribution Relations

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Publication: TIPSTER (2012)

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AbstractThe importance of attribution is becoming evident due to its relevance in particular for Opinion Analysis and Information Extraction applications. Attribution would allow to identify different perspectives on a given …...

13446

What Speakers really Mean when they Ask Questions: Classification of Intentions with a Supervised Approach

Authors: nan

Publication: TIPSTER (2020)

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AbstractThis paper focuses on the automatic detection of hidden intentions of speakers in questions asked during meals. Our corpus is composed of a set of transcripts of spontaneous oral conversations …...

15605