Abstract Details
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Activity Number:
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368
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Type:
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Invited
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Date/Time:
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Tuesday, August 5, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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Abstract #310787
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View Presentation
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Title:
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Sentiment Analysis
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Author(s):
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Junhui Wang and Annie Qu and Xiaotong Shen*+
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Companies:
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UIUC and University of Illinois at Urbana-Champaign and University of Minnesota
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Keywords:
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Natural language processing ;
Large margin ;
Text and opinion mining
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Abstract:
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Sentiment analysis identifies the relevant content as well as determines and understands opinions, from documents or texts, towards a specific event of interest. In this presentation, I will discuss large margin methods for ordinal classification involving word predictors, where imprecise information is available for prediction regarding linguistic relations among predictors, expressed in terms of a directed graph. Then the methods will be used for sentiment analysis, where sentiment function representations of words are derived, on which the imprecise predictor relations are integrated as linear relational constraints over sentiment function coefficients. Computational and theoretical aspects will be discussed, in addition to an application to opinion survey.
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Authors who are presenting talks have a * after their name.
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