Computer Science ›› 2018, Vol. 45 ›› Issue (12): 153-159.doi: 10.11896/j.issn.1002-137X.2018.12.024
• Artificial Intelligence • Previous Articles Next Articles
ZHANG Gang-qiang, LIU Qun, JI Liang-hao
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[1]LIU B.Sentiment Analysis and Opinion Mining[J].Synthesis Lectures on Human Language Technologies,2016,30(1):152-153. [2]CAMBRIA E.Affective Computing and Sentiment Analysis[J].IEEE Intelligent Systems,2016,31(2):102-107. [3]MEDHAT W,HASSAN A,KORASHY H.Sentiment analysis algorithms and applications:A survey[J].Ain Shams Enginee-ring Journal,2014,5(4):1093-1113. [4]RANA T A,CHEAH Y N.Aspect extraction in sentiment ana-lysis:comparative analysis and survey[J].Artificial Intelligence Review,2016,46(4):459-483. [5]TABOADA M,BROOKE J,TOFILOSKI M,et al.Lexicon-based methods for sentiment analysis[J].Computational Linguistics,2011,37(2):267-307. [6]ZOU H,TANG X,XIE B,et al.Sentiment Classification Using Machine Learning Techniques with Syntax Features[C]∥International Conference on Computatio-nal Science and Computational Intelligence.IEEE Computer Society,2015:175-179. [7]AGARWAL B,MITTAL N.Machine Learning Approach for Sentiment Analysis[M]∥Prominent Feature Extraction for Sentiment Analysis.Springer International Publishing,2016:21-45. [8]TRIPATHY A,AGRAWAL A,RATH S K.Classification ofSentiment Reviews using N-gram Machine Learning Approach[J].Expert Systems with Applications,2016,57(C):117-126. [9]YAO Y Y.An Outline of a Theory of Three-Way Decisions[C]∥International Conference on Rough Sets and Current Trends in Computing.Springer Berlin Heidelberg,2012:1-17. [10]ZHOU Z,SHANG L.A sentiment analysis method based on dynamic lexicon and three-way decision [J].Journal of Shandong University (Engineering Science),2015,45(1):19-23.(in Chinese) 周哲,商琳.一种基于动态词典和三支决策的情感分析方法[J].山东大学学报(工学版),2015,45(1):19-23. [11]ZHOU Z,ZHAO W,SHANG L.Sentiment Analysis with Automatically Constructed Lexicon and Three-Way Decision[M]∥Rough Sets and Knowledge Technology.Springer International Publishing,2014:777-788. [12]WANG L,HUANG H X,WU B,et al.Emotion analysis of text based on topics and three-way decisions [J].Computer Science,2015,42(6):93-96.(in Chinese) 王磊,黄河笑,吴兵,等.基于主题与三支决策的文本情感分析[J].计算机科学,2015,42(6):93-96. [13]ZHANG Z,WANG R.Applying Three-way Decisions to Sentiment Classification with Sentiment Uncertainty[C]∥International Conference on Rough Sets and Knowledge Technology.Springer International Publishing,2014:720-731. [14]YAO Y Y,DENG X.Sequential three-way decisions with probabilistic rough sets[C]∥IEEE International Conference on Cognitive Informatics & Cognitive Computing.IEEE,2011:120-125. [15]YAO Y Y.Three-Way Decisions and Cognitive Computing[J].Cognitive Computation,2016,8(4):543-554. [16]PAWLAK Z.Rough sets[J].International Journal of Computer &Information Sciences,1982,11(5):341-356. [17]YAO Y Y.Probabilistic approaches to rough sets[J].ExpertSystems,2003,20(5):287-297. [18]LIU D,YAO Y Y,LI T R.Three-way decisions-theoretic rough sets [J].Computer Science,2011,38(1):246-250.(in Chinese) 刘盾,姚一豫,李天瑞.三枝决策粗糙集[J].计算机科学,2011,38(1):246-250. [19]YAO Y Y.Three-way decisions with probabilistic rough sets[J].Information Sciences,2010,180(3):341-353. [20]YAO Y Y.Granular Computing and Sequential Three-Way Decisions[C]∥International Conference on Rough Sets and Knowledge Technology.Springer Berlin Heidelberg,2013:16-27. [21]WANG G Y,ZHANG Q H,HU J.An overview of granularcomputing[J].CAAI Transactions on Intelligent Systems,2007,2(6):8-26.(in Chinese) 王国胤,张清华,胡军.粒计算研究综述[J].智能系统学报,2007,2(6):8-26. [22]WU Q,TAN S.A two-stage framework for cross-domain sentiment classification[J].Expert Systems with Applications,2011,38(11):14269-14275. [23]ZHANG S,LIU H,YANG L,et al.A Cross-Domain Sentiment Classification Method Based on Extraction of Key Sentiment Sentence[M]∥Natural Language Processing and Chinese Computing.Springer International Publishing,2015:90-101. |
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