| [1] |
Eirinaki M, Pisal S, Singh J. Feature-based opinion mining and ranking [J]. Journal of Computer and System Sciences, 2012, 78(4): 1175-1184.
|
| [2] |
Zhai Z W, Liu B, Xu H, et al. Clustering product features for opinion mining [C]//Proceedings of the Fourth ACM International Conference on Web Search and Data Mining. New York, USA: ACM, 2011: 347-354.
|
| [3] |
Liu B. Sentiment analysis and opinion mining: Synthesis lectures on human language technologies [M]. [s.l.]: Morgan & Claypool Publishers, 2012: 1-167.
|
| [4] |
Maas A L, Daly R E, Pham P T, et al. Learning word vectors for sentiment analysis [C]//Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies.[s. l.]: Association for Computational Linguistics,2011: 142-150.
|
| [5] |
Liu B. Sentiment analysis and subjectivity [C]//Handbook of Natural Language Processing.New York: CRC Press, 2010: 627-666.
|
| [6] |
Liu B, Zhang L. A survey of opinion mining and sentiment analysis [C]//Mining Text Data. Berlin, Germany:Springer-Verlag, 2012: 415-463.
|
| [7] |
Kouloumpis E, Wilson T, Moore J. Twitter sentiment analysis: The good the bad and the omg![C]//Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media. Barcelona,Spain: AAAI, 2011: 538-541.
|
| [8] |
Pak A, Paroubek P. Twitter as a corpus for sentiment analysis and opinion mining [C]// Seventh International Conference on Language Resources and Evaluation.Valletta, Malta: LREC, 2010: 1320-1326.
|
| [9] |
Cambria E, Hussain A, Durrani T, et al. Towards a Chinese common and common sense knowledge base for sentiment analysis [C]//Advanced Research in Applied Artificial Intelligence. Berlin, Germany:Springer-Verlag, 2012: 437-446.
|
| [10] |
Miao Y Q, Su J, Liu S B, et al. SOCAL based method for Chinese sentiment analysis[C]//Informatics and Management Science IV. Berlin,Germany: Springer-Verlag, 2013: 345-351.
|
| [11] |
Yang L, Lin H F, Lin Y. Sentiment analysis based on chinese thinking modes [C]//Natural Language Processing and Chinese Computing. Berlin, Germany:Springer-Verlag, 2012: 46-57.
|
| [12] |
Rochat P. Early social cognition: Understanding others in the first months of life [M]. London, UK: Psychology Press, 2014.
|
| [13] |
Thompson J D. Organizations in action: Social science bases of administrative theory [M]. Livingston,USA: Transaction Publishers, 2011.
|
| [14] |
Thompson J B.Media and modernity: A social theory of the media [M]. Hoboken, US: John Wiley & Sons,2013.
|
| [15] |
Qian Y, Adali S. Extended structural balance theory for modeling trust in social networks [C]//2013 Eleventh Annual International Conference on Privacy,Security and Trust (PST). Tarragonna, Spain: IEEE,2013: 283-290.
|
| [16] |
Tawari A, Trivedi M M. Speech emotion analysis:Exploring the role of context [J]. IEEE Transactions on Multimedia, 2010, 12(6): 502-509.
|
| [17] |
Balahur A, Steinberger R, Kabadjov M, et al.Sentiment analysis in the news [C]// Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC’2010). Valletta, Malta: [s. n.],2010: 2216-2220.
|
| [18] |
Johnston P H. Opening minds: Using language to change lives [M]. Portland: Stenhouse Publishers,2012.
|
| [19] |
Beattie G, Ellis A. The psychology of language and communication [M]. London, UK: Psychology Press,2014.
|
| [20] |
Thelwall M, Buckley K. Topic-based sentiment analysis for the social Web: The role of mood and issue-related words [J]. Journal of the American Society for Information Science and Technology, 2013,64(8): 1608-1617.
|
| [21] |
Guerra P C, Meira Jr W, Cardie C. Sentiment analysis on evolving social streams: how self-report imbalances can help [C]//Proceedings of the 7th ACM International Conference on Web Search and Data Mining.Helsinki, Finland: ACM, 2014: 443-452.
|
| [22] |
Tsai A C R, Wu C E, Tsai R T H, et al. Building a concept-level sentiment dictionary based on commonsense knowledge [J]. IEEE Intelligent Systems, 2013,28(2): 22-30.
|
