JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2015, Vol. 45 ›› Issue (1): 19-23.doi: 10.6040/j.issn.1672-3961.1.2014.250

Previous Articles     Next Articles

A sentiment analysis method based on dynamic lexicon and three-way decision

ZHOU Zhe1,2, SHANG Lin1,2   

  1. 1. Department of Computer Science and Technology, Nanjing University, Nanjing 210046, Jiangsu, China;
    2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210046, Jiangsu, China
  • Received:2014-05-23 Revised:2014-10-15 Published:2014-05-23

Abstract: A new way of feature extraction and the concept of three-way decision was utilized in traditional text sentiment analysis methods in order to boost the classification accuracy. In the new method, a dynamic lexicon was introduced according to the training set and was utilized to extract abstract features for every piece of text to form the feature matrix. Besides, in the classification process, target texts with which the classifier had low confidence of sentiment labels were put into the boundary region for later decision. Experimental results showed that the method reached better results with the help of dynamic sentiment lexicon, and the three-way decision also raised the accuracy of classification.

Key words: text data mining, three-way decision, sentiment analysis, opinion mining, feature extraction

CLC Number: 

  • TP391
[1] 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-Volume 10. Philadelphia,USA: Association for Computational Linguistics, 2002:79-86.
[2] PANG B, LEE L. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts[C]//Proceedings of the 42nd Annual meeting on Association for Computational Linguistics. Barcelona, Spain: Association for Computational Linguistics, 2004: 271.
[3] BACCIANELLA S, ESULI A, SEBASTIANI F. SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining[C]//Proceedings of the International Conference on Language Resources and Evaluation(LREC). Valletta, Malta:LREC, 2010:2200-2204.
[4] TABOADA M, BROOKE J, TOFILOSKI M, et al. Lexicon-based methods for sentiment analysis[J]. Computational Linguistics, 2011, 37(2): 267-307.
[5] TURNEY P D. Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews[C]//Proceedings of the 40th annual meeting on association for computational linguistics. Philadelphia, USA: Association for Computational Linguistics, 2002: 417-424.
[6] LI Gang, LIU Fei. A clustering-based approach on sentiment analysis[C]//Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on. Hangzhou, China: IEEE, 2010: 331-337.
[7] OFEK N, CARAGEA C, ROKACH L, et al. A Suite of Core NLP Tools[DB/OL].(2010-11-16)[2014-03-26].
[8] SINGH V K, PIRYANI R, UDDIN A, et al. Sentiment analysis of textual reviews: Evaluating machine learning, unsupervised and SentiWordNet approaches[C]//Knowledge and Smart Technology (KST), 2013 5th International Conference on. Chonburi, Thailand: IEEE, 2013: 122-127.
[9] OFEK N, CARAGEA C, ROKACH L, et al. Improving sentiment analysis in an online cancer survivor community using dynamic sentiment lexicon[C]//Social Intelligence and Technology (SOCIETY), 2013 International Conference on. Pennsylvania, USA: IEEE, 2013: 109-113.
[10] YAO Yiyu. Three-way decision: an interpretation of rules in rough set theory[M]//Rough Sets and Knowledge Technology. Berlin Heidelberg: Springer, 2009: 642-649.
[11] ZHOU Bing, YAO Yiyu, LUO Jigang. A three-way decision approach to email spam filtering[M]//Advances in Artificial Intelligence. Berlin Heidelberg: Springer, 2010: 28-39.
[1] WANG Guoxin, CHEN Fengdong, LIU Guodong. Feature extraction method of color pseudo-random coded structured light [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 55-60.
[2] SHEN Ji, MA Zhiqiang, LI Tuya, ZHANG Li. A word extend LDA model for short text sentiment [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 120-126.
[3] YE Ziyun, YANG Jinfeng. A finger-vein recognition method based on weighted graph model [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 103-109.
[4] ZHANG Zhenyue, LI Fei, JIANG Mingyan. Unsupervised face image feature extraction based on low-rank representation projection [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(1): 15-20.
[5] YU Qingmin, LI Xiaolei, ZHAI Yong. Feature extraction method of rolling bearing inner ring in wind turbine based on improved EMD and feature box [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(3): 89-95.
[6] GUO Chao, YANG Yan, JIANG Yongquan, SONG Yi. Condition recognition of high-speed train based on multi-view classification ensemble [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(1): 7-14.
[7] ZHANG Yuling, YIN Chuanhuan. Android malware detection based on SVM [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(1): 42-47.
[8] ZHONG Zhiyan, WEN Zhiqiang, ZHANG Xiaoyun, YE Degang. Neighborhood similarity descriptor used in halftone image [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(3): 58-64.
[9] LU Dan, ZHOU Yiqi. Vibration analysis of excavator seat based on EEMD and CWT [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(3): 58-64.
[10] ZHOU Yongmei1, YANG Aimin1, LIN Jianghao2. A method of building Chinese microblog sentiment lexicon [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2014, 44(3): 36-40.
[11] YU Hai-jing1,2, LI Gui-ju1*. Color smoke image recognition based on differential box-counting fractal dimension algorithm [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2014, 44(1): 35-40.
[12] LI Hui1,2, HU Yun1,3, LI Cun-hua1. The technique of gas disaster information feature extraction based on rough set theory [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2012, 42(5): 91-95.
[13] CAO Hong-gen1, YUAN Bao-hua1, ZHU Hui-sheng2. Recognition of intersected face based on contrast information and  local binary pattern [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2012, 42(4): 29-34.
[14] ZHANG Si-yi1,2, WANG Shi-tong1*. Kernelized spatial depth function for the feature extraction method [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2012, 42(3): 45-51.
[15] WANG Jiangning, JI Liqiang. Research on features of insect images [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2011, 41(2): 51-57.
Full text



No Suggested Reading articles found!