Building a concept-level sentiment dictionary based on commonsense knowledge

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/106424

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106424

Title:	Building a concept-level sentiment dictionary based on commonsense knowledge
Authors:	蔡宗翰;Tsai, A. C-R;Wu, Chi-En;Tsai, R. T-H;Hsu, J. Y.
Contributors:	資訊電機學院資訊工程學系
Keywords:	Artificial intelligence;commonsense knowledge;ConceptNet;Construction;Context;Context awareness;Data analysis;Data collection;Data dictionaries;Data mining;Dictionaries;Emotion recognition;Information analysis;Iterative methods;Knowledge discovery;Natural language processing;Public opinion;Random walk;Random walk theory;Regression;Regression analysis;Semantics;sentiment analysis;sentiment dictionary
Date:	2013-07-19
Issue Date:	2026-04-23 13:22:15 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers Inc.;Los Alamitos: IEEE
Abstract:	摘要： Sentiment dictionaries are essential for research in the sentiment analysis field. A two-step method integrates iterative regression and random walk with in-link normalization to build a concept-level sentiment dictionary. The approach uses ConceptNet as a framework to propagate sentiment values, based on the assumption that semantically related concepts share a common sentiment. 其他題名： MIS 出版者： Los Alamitos: IEEE 出版日期： 2013-03-01 出處： IEEE intelligent systems, 2013-03, Vol.28 (2), p.22-30 資源來源： IEEE Electronic Library (IEL) 版權： Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Mar/Apr 2013 識別號： ISSN: 1541-1672 識別號： EISSN: 1941-1294 識別號： DOI: 10.1109/MIS.2013.25 識別號： CODEN: IISYF7
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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