Extracting the opinions of news articles based on emotionally laden words

被引：2

作者：

Shinomiya, Mizuho ^{[1
]}

Ren, Fuji ^{[2
,3
]}

Kuroiwa, Shingo ^{[2
]}

Tsuchiya, Seiji ^{[2
]}

机构：

[1] Univ Tokushima, Grad Sch Adv Technol & Sci, Tokushima 7708506, Japan

[2] Univ Tokushima, Inst Sci & Technol, Tokushima 7708506, Japan

[3] Beijing Univ Posts & Telecommun, Sch Informat Engn, Beijing 100876, Peoples R China

来源：

PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) | 2007年

关键词：

D O I：

10.1109/NLPKE.2007.4368041

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we propose an approach to extract the opinion of the media from news articles based on emotionally Laden Words. In the propose approach, the opinions are judged by the total number of the emotion levels from articles. The emotion level is the number from -3 to +3 that indicate emotionally Laden Words whether have plus or minus images. The articles of baseball game and the editorial article are used as experiment object. The precision of the propose approach on the articles about baseball game is 66%, and on the articles of political event is 36%.

引用

页码：262 / +

页数：2

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