Emotion recognition from Uyghur sentences based on combinations of class discrimination words and a sentiment dictionary
Abdusalam Dawut1, Hussein Yusuf2, Askar Hamdulla2
1. School of Software, Xinjiang University, Urumqi 830046, China;
2. School of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
Abstract：This paper presents a recognition method for Uyghur sentence sentiments, such as anger, happiness, sadness and wonder based on combining class-discrimination words (CDW) and a sentiment dictionary. The sentiment expression characteristics in the Uyghur sentence text are identified from features extracted using a CDW feature selection method for the emotion recognition. A set of emotional words is collected manually and put into a sentiment dictionary which is combined with the CDW feature words for the emotion recognition. Tests show that the combined method is more effective than only the CDW feature based method.
阿不都萨拉木·达吾提, 于斯音·于苏普, 艾斯卡尔·艾木都拉. 类别区分词与情感词典相结合的维吾尔文句子情感分类[J]. 清华大学学报（自然科学版）, 2017, 57(2): 197-201.
Abdusalam Dawut, Hussein Yusuf, Askar Hamdulla. Emotion recognition from Uyghur sentences based on combinations of class discrimination words and a sentiment dictionary. Journal of Tsinghua University(Science and Technology), 2017, 57(2): 197-201.
宗成庆. 统计自然语言处理[M]. 北京:清华大学出版社, 2013.ZONG Chengqing. Statistical Natural Language Processing[M]. Beijing:Tsinghua University Press, 2013. (in Chinese)
[2]
代大明, 王中卿, 李寿山, 等. 基于情绪词的非监督中文情感分类方法研究[J]. 中文信息学报, 2012, 26(4):103-108. DAI Daming, WANG Zhongqing, LI Shoushan, et al. Unsupervised Chinese sentiment classification with emotion words[J]. Journal of Chinese Information Processing, 2012, 26(4):103-108. (in Chinese)
[3]
赵志伟. 中文文本倾向性分析研究[D]. 合肥:安徽大学, 2012.ZHAO Zhiwei. Chinese Text Orientation Analysis[D]. Hefei:Anhui University, 2012. (in Chinese)
[4]
Yang T-H, Hsieh C-T, Soo V-W. Towards text-based emotion detection[C]//International Conference on Information Management and Engineering. Kuala Lumpur, Malaysia, 2009.
[5]
李寿山. 情感文本分类方法研究[D]. 北京:中国科学院自动化研究所, 2008.LI Shoushan. Research on Sentiment Classification Method[D]. Beijing:Institute of Automation, Chinese Academy of Sciences, 2008. (in Chinese)
[6]
秀段婷, 何婷婷, 宋乐. 基于PMI-IR算法的Blog情感分类研究[C]//第5届全国青年计算语言学研讨会论文集. 武汉:华中师范大学, 2010.XIU Duanting, HE Tingting, SONG Le. Blog sentiment classification based on PMI-IR algorithm[C]//5th National Conference on Computational Linguistics for Young Fellows. Wuhan:Huazhong Normal University China, 2010. (in Chinese)
[7]
杨鼎, 阳爱民. 一种基于情感词典和朴素贝叶斯的中文文本情感分类方法[J]. 计算机应用研究, 2010, 27(10):3737-3743.YANG Ding, YANG Aimin. Classification approach of Chinese texts sentiment based on semantic lexicon and naive Bayesian[J]. Application Research of Computers, 2010, 27(10):3737-3743. (in Chinese)
[8]
张靖, 金浩. 汉语词语情感倾向自动判断研究[J]. 计算机工程, 2010, 36(23):194-196.ZHANG Jing, JIN Hao. Study on Chinese word sentiment polarity automatic estimation[J]. Computer Engineering, 2010, 36(23):194-196. (in Chinese)
[9]
潘文彬. 基于情感词词典的中文句子情感倾向性分析[D]. 北京:北京邮电大学, 2011.FAN Wenbin. Sentiment Orientation Analysis of Chinese Sentences Based on Sentiment Word Dictionary[D]. Beijing:Beijing University of Posts and Telecommunications, 2011. (in Chinese)
[10]
王素格, 杨安娜, 李德玉. 基于汉语情感词表的句子情感倾向分类研究[J]. 计算机工程与应用, 2009, 45(24):153-155.WANG Suge, YANG Anna, LI Deyu. Research on sentence sentiment classification based on Chinese sentiment word table[J]. Computer Engineering and Applications, 2009, 45(24):153-155. (in Chinese)
[11]
夏睿. 基于语言知识和集成学习的情感文本分类方法研究[D]. 北京:中国科学院自动化研究所, 2011.XIA Rui. Emotional Text Categorization Based on Language Knowledge and Integrated Learning[D]. Beijing:Institute of Automation, Chinese Academy of Sciences, 2011. (in Chinese)
[12]
黄俊, 田生伟, 禹龙, 等. 基于维吾尔语情感词的句子情感分析[J]. 计算机工程, 2012, 38(9):183-185.HUANG Jun, TIAN Shengwei, YU Long, et al. Sentence sentiment analysis based on Uyghur sentiment word[J]. Computer Engineering, 2012, 38(9):183-185. (in Chinese)
[13]
于斯音·于苏普,艾斯卡尔·艾木都拉.基于情感词典的维吾尔语文本句子情感分类[J].电脑知识与技术, 2014(10):2371-2374. Hussein Yusuf, Askar Hamdulla. Sentiment database based sentiment classification from Uyghur text[J]. Computer Knowledge and Technology, 2014(10):2371-2374. (in Chinese)
[14]
冯冠军, 禹龙, 田生伟. 基于CRFs自动构建维吾尔语情感词语料库[J]. 现代图书情报技术, 2011(3):17-21.FENG Guanjun, YU Long, TIAN Shengwei. Auto construction of Uyghur emotional words corpus based on CRFs[J]. New Technology of Library and Information Service, 2011(3):17-21. (in Chinese)
[15]
热依莱木·帕尔哈提, 孟祥涛, 艾斯卡尔·艾木都拉.基于区分性关键词模型的维吾尔文本情感分类[J]. 计算机工程, 2014, 40(10):132-136.Rayila Parhat, MENG Xiangtao, Askar Hamdulla. Discriminative keyword model based sentiment classification from Uyghur text[J]. Computer Engineering, 2014, 40(10):132-136. (in Chinese)
[16]
周奇年, 张振浩, 徐登彩. 用于中文文本分类的基于类别区分词的特征选择方法[J]. 计算机应用与软件, 2013, 30(3):193-195.ZHOU Qinian, ZHANG Zhenhao, XU Dengcai. Feature selection method for Chinese text categorization based on class discriminating words[J]. Computer Applications and Software, 2013, 30(3):193-195. (in Chinese)
周茜, 赵明生, 扈旻. 中文文本分类中的特征选择研究[J]. 中文信息学报, 2004, 18(3):17-23.ZHOU Qian, ZHAO Mingsheng, HU Min. Study on feature selection in Chinese text categorization[J]. Journal of Chinese Information Processing, 2004, 18(3):17-23. (in Chinese)
[19]
张玉芳, 王勇, 刘明, 等. 新的文本分类特征选择方法研究[J]. 计算机工程与应用, 2013, 49(5):132-135.ZHANG Yufang, WANG Yong, LIU Ming, et al. New feature selection approach for text categorization[J]. Computer Engineering and Applications, 2013, 49(5):132-135. (in Chinese)
[20]
王志昊, 王中卿, 李寿山, 等. 不平衡情感分类中的特征选择方法研究[J]. 中文信息学报, 2013, 27(4):113-118.WANG Zhihao, WANG Zhongqing, LI Shoushan, et al. Feature selection for imbalanced sentiment classification[J]. Journal of Chinese Information Processing, 2013, 27(4):113-118. (in Chinese)
2017, Vol. 57 
