DSpace at KOASAS: Sentiment Analysis of Real-Life Situations Using Location, People and Time as Contextual Features

DSpace at KOASAS

College of Engineering(공과대학)School of Computing(전산학부)CS-Conference Papers(학술회의논문)

Sentiment Analysis of Real-Life Situations Using Location, People and Time as Contextual Features

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Do, Hyo Jin / Choi, Ho-Jin researcher

Publisher: Korean Institute of Information Scientists and Engineers

Issue Date: 2015-02-09

Language: English

Citation: The 2nd International Conference on Big Data and Smart Computing (BigComp2015)

URI: http://hdl.handle.net/10203/198913

Appears in Collection: CS-Conference Papers(학술회의논문)

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Knowledge Service Development Team, KAIST 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea. T. 82-42-350-4493 Email. koasas@kaist.ac.kr
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Sentiment Analysis of Real-Life Situations Using Location, People and Time as Contextual Features

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