Extracting the Opinions of News Articles based on Emotionally Laden Words

机译：基于情感负载词的新闻文章观点提取

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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%.

机译：本文提出了一种基于情感满载词语从新闻报道中提取媒体舆论的方法。在提出的方法中，舆论是根据文章情感水平的总数来判断的。情感级别是从-3到+3的数字，表示带有加负图像的情感满载单词。棒球比赛的文章和社论的文章被用作实验对象。提议的方法在有关棒球比赛的文章上的准确性为66％，在政治事件上的文章为36％。

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《2007 IEEE International Conference on Natural Language Processing and Knowledge Engineering(NLP-KE'07)》|2007年|1-6|共6页
会议地点 Beijing(CN)
作者
GE Jielong; rnDAI Yongyang;
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Mizuho SHINOMIYA@Graduate School of Advanced Technology and Science, The University of Tokushima Minami Josanjima, Tokushima, 770-8506, Japan--Fuji REN@Institute of Technology and Science, The University of Tokushima Minami Josanjima, Tokushima, 770-8506, Japan;

School of Information Engineering, Beijing University of Posts and Telecommunications Beijing, 100876, China--Shingo KUROIWA@Institute of Technology and Science, The University of Tokushima Minami Josanjima, Tokushima, 770-8506, Japan--Seiji TSUCHIYA@Institute of Technology and Science, The University of Tokushima Minami Josanjima, Tokushima, 770-8506, Japan--;

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Extracting the Opinions of News Articles based on Emotionally Laden Words

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