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Analyzing Sentiments of Micro-blog Posts Based on Support Vector Machine |
Yang Shuang(), Chen Fen |
School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210094, China |
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Abstract [Objective] This paper proposes a new method based on the Support Vector Machine to monitor online public opinion. [Methods] We extracted fourteen linguistic characteristics of the micro-blog posts and analysed their sentiments with Support Vector Machine. [Results] The precision, recall and F value of the proposed method were 82.40%, 81.91%, and 82.10%, respectively. [Limitations] The size of training corpus needs to be expanded. [Conclusions] The proposed method could effectively analyze sentiments of micro-blog posts.
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Received: 29 August 2016
Published: 27 March 2017
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[1] |
王雪猛, 王玉平. 基于情感倾向分析的突发事件网络舆情预警研究[J]. 西南科技大学学报: 哲学社会科学版, 2016, 33(1): 63-66.
doi: 10.3969/j.issn.51-1660/C.2016.01.011
|
[1] |
(Wang Xuemeng, Wang Yuping.Research of Emergency Network Public Sentiment Warning Based on the Analysis of Emotional Tendency[J]. Journal of Southwest University of Science and Technology: Philosophy and Social Science Edition, 2016, 33(1): 63-66.)
doi: 10.3969/j.issn.51-1660/C.2016.01.011
|
[2] |
Kamps J, Marx M, Mokken R J, et al.Using WordNet to Measure Semantic Orientations of Adjectives[C]// Proceedings of the 4th International Conference on Language Resources and Evaluation. 2004.
|
[3] |
Shen Y, Li S, Zheng L, et al.Emotion Mining Research on Micro-blog[C]// Proceedings of the 1st IEEE Symposium on Web Society. 2009.
|
[4] |
郑诚, 杨希, 张吉赓. 结合情感词典与规则的微博情感极性分类方法[J]. 电脑知识与技术, 2014, 10(13): 3111-3113.
|
[4] |
(Zheng Cheng, Yang Xi, Zhang Jigeng.Micro-blog Sentiment Analysis of Combined Sentiment Dictionary and Rules[J]. Computer Knowledge and Technology, 2014, 10(13): 3111-3113.)
|
[5] |
张阳, 刘晓霞, 孙凯龙, 等. 基于情感描述项的文本倾向性识别研究[J]. 计算机工程与应用, 2015, 51(4): 158-161, 195.
doi: 10.3778/j.issn.1002-8331.1304-0321
|
[5] |
(Zhang Yang, Liu Xiaoxia, Sun Kailong, et al.Research on Text Orientation Identification Based on Emotional Description Item[J]. Computer Engineering and Applications, 2015, 51(4): 158-161, 195.)
doi: 10.3778/j.issn.1002-8331.1304-0321
|
[6] |
Pang B, Lee L, Vaithyanathan S.Thumbs up? Sentiment Classification Using Machine Learning Techniques[C]// Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing. 2002.
|
[7] |
Borbosa L, Feng J.Robust Sentiment Detection on Twitter from Biased and Noisy Data [C]//Proceedings of the 23rd International Conference on Computational Linguistics. Beijing: Tsinghua University Press. 2010.
|
[8] |
Davidov D, Tsur O, Rappoport A.Enhanced Sentiment Learning Using Twitter Hashtags and Smileys[C]// Proceedings of the 23rd International Conference on Computational Linguistics: Posters, 2010: 241-249.
|
[9] |
夏梦南, 杜永萍, 左本欣. 基于依存分析与特征组合的微博情感分析[J]. 山东大学学报: 理学版, 2014, 49(11): 22-30.
doi: 10.6040/j.issn.1671-9352.3.2014.074
|
[9] |
(Xia Mengnan, Du Yongping, Zuo Benxin.Micro-blog Opinion Analysis Based on Syntactic Dependency and Feature Combination[J]. Journal of Shandong University: Natural Science, 2014, 49(11): 22-30.)
doi: 10.6040/j.issn.1671-9352.3.2014.074
|
[10] |
Ding S, Jiang T, Wen N.Research on Sentiment Orientation of Product Reviews in Chinese Based on Cascaded CRFs Models[C]//Proceeding of the 2012 International Conference on Machine Learning and Cybernetics (ICMLC 2012). IEEE, 2012.
|
[11] |
魏晶晶, 吴晓吟. 电子商务产品评论多级情感分析的研究与实现[J]. 软件, 2013, 34(9): 65-67, 94.
doi: 10.3969/j.issn.1003-6970.2013.09.020
|
[11] |
(Wei Jingjing, Wu Xiaoyin.Research on Multi-level Sentiment Analysis System of E-Commerce Product Review and Implementation[J]. Software, 2013, 34(9): 65-67, 94.)
doi: 10.3969/j.issn.1003-6970.2013.09.020
|
[12] |
廖健, 王素格, 李德玉, 等. 基于观点袋模型的汽车评论情感极性分类[J]. 中文信息学报, 2015, 29(3): 113-120.
|
[12] |
(Liao Jian, Wang Suge, Li Deyu, et al.The Bag-of-Opinions Method for Car Review Sentiment Polarity Classification[J]. Journal of Chinese Information Processing, 2015, 29(3): 113-120.)
|
[13] |
Word2Vec [EB/OL]. [2015-01-12]. .
|
[14] |
Liu Z, Yu W, Chen W, et al.Short Text Feature Selection for Micro-blog Mining[C]//Proceedings of the 2010 International Conference on Computational Intelligence and Software Engineering. IEEE, 2010.
|
[15] |
吴明芬, 陈涛. 基于SVM的以词性和依存关系为特征的句子倾向性判断分析[J]. 五邑大学学报: 自然科学版, 2012, 26(4): 66-71.
doi: 10.3969/j.issn.1006-7302.2012.04.015
|
[15] |
(Wu Mingfen, Chen Tao.Sentences Tendency Judgement by POS and Dependency Based on SVM[J]. Journal of Wuyi University: Natural Science Edition, 2012: 26(4): 66-71.)
doi: 10.3969/j.issn.1006-7302.2012.04.015
|
[16] |
刘海涛. 依存语法的理论与实践[M].北京: 科学出版社, 2009.
|
[16] |
(Liu Haitao.Dependency Grammar: From Theory to Practice [M]. Beijing: Science Press, 2009.)
|
[17] |
Stanford Parser [EB/OL]. [2015-06-16]. .
|
[18] |
彭玥. 基于文本倾向性的网络意见领袖识别[D]. 南京: 南京理工大学, 2014.
|
[18] |
(Peng Yue.Internet Opinion Leader Detection Based on Text Sentiment Analysis [D]. Nanjing: Nanjing University of Science and Technology, 2014.)
|
[19] |
NLPIR/ICTCLAS [EB/OL]. [2015-12-02]. .
|
[20] |
LibSVM [EB/OL]. [2015-07-12].https://www.csie.ntu.edu.tw/~cjlin/libsvm/.
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