Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/47534
Title: Lexicon-based emotion classification on movie reviews.
Authors: Winn, Mon Saw.
Keywords: DRNTU::Library and information science::Libraries::Cataloguing and classification
Issue Date: 2010
Abstract: In 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.
Description: 91 p.
URI: http://hdl.handle.net/10356/47534
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Theses

Files in This Item:
File Description SizeFormat 
WKWSCI_THESES_22.pdf
  Restricted Access
11.62 MBAdobe PDFView/Open

Page view(s) 5

385
checked on Oct 29, 2020

Download(s) 5

12
checked on Oct 29, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.