[1]程传鹏,王海龙.情感倾向判断中基准词的选择[J].智能系统学报,2013,8(04):349-355.[doi:10.3969/j.issn.1673-4785.201301029]
 CHENG Chuanpeng,WANG Hailong.Research on selection of paradigm words in the judgment of emotional tendency[J].CAAI Transactions on Intelligent Systems,2013,8(04):349-355.[doi:10.3969/j.issn.1673-4785.201301029]
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情感倾向判断中基准词的选择(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第8卷
期数:
2013年04期
页码:
349-355
栏目:
出版日期:
2013-08-25

文章信息/Info

Title:
Research on selection of paradigm words in the judgment of emotional tendency
文章编号:
1673-4785(2013)04-0349-07
作者:
程传鹏王海龙
中原工学院 计算机学院,河南 郑州 450007
Author(s):
CHENG Chuanpeng WANG Hailong
School of Computer Science, Zhongyuan Institute of Technology, Zhengzhou 450007, China
关键词:
基准词情感度情感倾向度情感歧义性
Keywords:
standard words degree of emotion tendency of emotion ambiguity of emotion
分类号:
TP391
DOI:
10.3969/j.issn.1673-4785.201301029
文献标志码:
A
摘要:
针对已有研究工作中基准词选择的不足之处,提出了一种情感倾向判断中基准词选择的方法.依照基准词的定义,分别从情感度、情感倾向度、情感歧义性3个方面考虑,选择出数量尽可能少、最具有代表性的情感词作为基准词.首先从《知网》所发布的情感词语中,筛选出最初的候选基准词,计算出这些候选基准词的情感度.然后分别计算出情感度排名靠前的正面情感词和负面情感词的情感倾向度.最后选择情感倾向度较大的词语,作为最终的基准词.实验结果表明,按照文中所选择的基准词所得到的情感倾向判断的准确率较高.
Abstract:
In light of the weakness of standard words selection, which exists in previous research studies, a method for selecting standard words in the judgment of emotional tendency was proposed in this paper. By considering three key aspects, which include degree of emotion, tendency of emotion and ambiguity of emotion, the most representative typical sentiment words were chosen to act as standard words based on the definition of standard words. Firstly, initial standard words were screened from emotion words issued in HowNet, the degree of emotion of these candidate standard words was computed, then the emotional tendency degree of the positive emotion words and negative emotion words, which have high ranking of emotion degree, was calculated, respectively. Finally, the larger emotional tendency words were used as final standard words. The results of test shows the methods used in this paper can gain a high accuracy for judging the tendency of emotion.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2013-01-16.     网络出版日期:2013-06-03. 
基金项目:云南省科技计划资助项目(2011FZ074).
通信作者:程传鹏. E-mail:cheng8444@sina.com.
作者简介:
程传鹏,男,1977生,讲师,主要研究方向为自然语言处理、机器学习.
王海龙,男,1976生,副教授,主要研究方向为图像处理、机器学习.
更新日期/Last Update: 2013-09-27