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Emotion / Science / Sentiment analysis / Data mining / Affect / Major depressive disorder / Attitude / Sentence / Document classification / Mind / Natural language processing / Feeling


LNCS[removed]A Hybrid System for Online Detection of Emotional Distress
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Document Date: 2013-04-10 06:25:32


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Denver / Santos / Seattle / San Antonio / London / San Diego / Milwaukee / /

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Lexical Resources / Google / Decision Support Systems / /

Country

United States / /

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Event

Reorganization / /

Facility

The University of Hong Kong / /

IndustryTerm

life-saving applications / web discourse terminology / online behaviors / online depression detection / text mining / social networking sites / online communities / meta-search approach / manual search method / Online Detection / Web forums / dark web forums / web discourse / mining / social networks / blog search engines / content mining techniques / follow-up services / online communication / inductive learning algorithm / collaboration network / /

Organization

Department of Social Work and Social Administration / School of Business / University of Hong Kong / Hong Kong / HKJC Center for Suicide Research and Prevention / American Society for Information Science and Technology / /

Person

Gumbrecht / Schiano / Meta Spider / /

Position

writer / Cao / representative / D.J. / /

ProgrammingLanguage

XML / /

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Wisconsin / California / Colorado / /

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Computational Linguistics / Communications of the ACM / /

Technology

SVM algorithms / Data Mining / machine learning / inductive learning algorithm / Business Intelligence / /

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http /

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