Automatic Identification and Recognition of Sentiment Words Using an   Optimization-Based Model with Propagation

doi:10.1002/int.21707

CORC > 北京大学 > 信息科学技术学院

	Automatic Identification and Recognition of Sentiment Words Using an Optimization-Based Model with Propagation
	Luo, Kun-Hu ; Deng, Zhi-Hong ; Yu, Hong-Liang ; Li, Shi-Ying-Xue
刊名	international journal of intelligent systems
	2015
DOI	10.1002/int.21707
英文摘要	Sentiment word identification, or SWI, is one of the most basic and important techniques in sentiment analysis. Many existing methods depend on the seed word, and such dependence leads to low robustness. In this paper, we propose a novel method utilizing propagation and optimization model, PRopagation-based Constrained Optimization Model (PR-COM) for SWI. Unlike the previous research, we exploit an iterative algorithm to expand the seed word set from the candidate word set, which brings higher robustness. Experimental results on several data sets show that our PR-COM method is effective and outperforms the state-of-art methods. (C) 2015 Wiley Periodicals, Inc.; Computer Science, Artificial Intelligence; SCI(E); 0; ARTICLE; zhdeng@cis.pku.edu.cn; 5; 537-549; 30
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/151950]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Luo, Kun-Hu,Deng, Zhi-Hong,Yu, Hong-Liang,et al. Automatic Identification and Recognition of Sentiment Words Using an Optimization-Based Model with Propagation[J]. international journal of intelligent systems,2015.
APA	Luo, Kun-Hu,Deng, Zhi-Hong,Yu, Hong-Liang,&Li, Shi-Ying-Xue.(2015).Automatic Identification and Recognition of Sentiment Words Using an Optimization-Based Model with Propagation.international journal of intelligent systems.
MLA	Luo, Kun-Hu,et al."Automatic Identification and Recognition of Sentiment Words Using an Optimization-Based Model with Propagation".international journal of intelligent systems (2015).