Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/47534
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dc.contributor.authorWinn, Mon Saw.en_US
dc.date.accessioned2011-12-27T08:36:16Z-
dc.date.available2011-12-27T08:36:16Z-
dc.date.copyright2010en_US
dc.date.issued2010-
dc.identifier.urihttp://hdl.handle.net/10356/47534-
dc.description91 p.en_US
dc.description.abstractIn this study, an emotion tagging program was developed for movie reviews. The emotion tagging program can be used to enable a movie buff or any user to browse for movies using emotion words. To develop an emotion tagging program, emotion lexicons for emotion classification are needed. Emotion classification focuses on the strength and intensity of emotions. An efficient way to recognize emotion expressions is to identify obvious emotion words in texts. The emotion lexicons in this study were collected from three public online resources: WordNet-Affect, General Inquirer and Roget's Thesaurus. These emotion words were classified according to two perspectives: emotional and semantic. From the emotion perspective, the words were classified into Ekman's six basic emotion categories. These emotion categories were further divided into seven other categories according to the semantic concepts of the words, using the ideas of two researchers, Johnson-Laird and Oatley.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Library and information science::Libraries::Cataloguing and classificationen_US
dc.titleLexicon-based emotion classification on movie reviews.en_US
dc.typeThesisen_US
dc.contributor.supervisorJin Cheon Naen_US
dc.contributor.schoolWee Kim Wee School of Communication and Informationen_US
dc.description.degreeMaster of Science (Information Studies)en_US
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