Reference: | 王志瑋,2011,數位口碑探勘法於商品推薦之研究,國立成功大學資訊管理研究所碩士論文。 何偉豪,2010,使用最大熵值法於產品評論之評價等級預測-以Amazon 為例,國立東華大學數為知識管理碩士學位學程。 李日斌,2014,探討臺灣網民對鄰國的情感,國立中山大學資訊管理學系碩士論文。 李啟菁,2010,中文部落格文章之意見分析,國立台北科技大學資訊工程系研究所碩士論文。 李淑惠,2014,運用文字探勘技術於口碑分析之研究,東吳大學資訊管理學系論文。 張育蓉,2012,使用情緒分析於圖書館使用者滿意度評估之研究,國立中興大學圖書資訊學研究所碩士學位論文。 張莊平,2011,中文文法剖析應用於電影評論之意見情感分類,國立臺灣師範大學資訊工程研究所碩士論文。 陳立,2009,中文情感語意自動分類之研究,國立臺灣師範大學資訊工程研究所碩士論文。 楊惠淳,2011,以主客觀分析與相互資訊檢索探討情感分析之準確度-以電影評論為例,國立臺北科技大學資訊與運籌管理研究所碩士論文。 蕭瑞祥、姜青山、曹金豐、簡之文,2012,部落格文章情感分析之研究,私立淡江大學資訊管理學系。 謝邦昌、鄭宇廷、謝邦彥、硬是愛數據應用股份有限公司,2017,玩轉社群:文字大數據實作,五南出版社。 簡智宏,2015,應用文字探勘技術於概念股輿情與股價共同移動之研究-以蘋果供應鏈為例,國立政治大學資訊管理研究所碩士論文。 鐘任明、李維平、吳澤民,2007,運用文字探勘於日內股價漲跌趨勢預測之研究,中華管理評論國際學報。
Benamara, F., Cesarano, C., Picariello, A. & Subrahmanian. (2007). Sentiment analysis:Adjectives and adverbs are better than adjectives alone. In ICWSM Boulder, CO USA. Blair-Goldensohn, S., Hannan, K., McDonald, R., Neylon, T., Reis, G. & Reynar, J. (2008). Building a sentiment summarizer for local service reviews. In paper presented at the www 2008 workshop on NLP challenges in the information explosion era (NLPIX 2008), Beijing, April, 22. Bollen, J., Mao, H. & Zeng, X.(2010). Twitter mood predicts the stock market, Journal of computational science. Vol. 2, p.1-8. Culnan,M., McHugh, P. & Zubillaga, J.(2010).How large U.S. companies can use twitter and other social media to gain business value. MIS Quarterly Executive, 9(4), p.243-259. Dey, L., Haque, S. M., Khurdiya, A. & Shroff, G. (2011). Acquiring competitive intelligence from social media. In Proceedings of the 2011 joint workshop on multilingual OCR and analytics for noisy unstructured text data Article3. Gamon, M. (2004). Sentiment classification on customer feedback data: Noisy data, large feature vectors, and the role of linguistic analysis. In Proceedings of the 20th International Conference on Computational Linguistics, p.841. Gary, K., Jennifer, P. & Margaret, E. R.(2013). How Censorship in China Allows Government Criticism but Silences Collective Expression. American Political Science Review, 107, 2 (May), p.1-18. Copy at http://j.mp/2nxNUhk Gidofalvi, G.(2001). Using news articles to predict stock price movements. Department of Computer Science. University of California, San Diego. Governatori, G. & Iannella, R.(2011). A medeling and reasoning framework for social networks policies. Enterprise Information Systems, 5(1), p.145-167. Hassan, S., Yulan, H. & Harith, A.(2012). Semantic Sentiment Analysis of Twitter. In: Cudré-Mauroux P. et al. (eds) The Semantic Web – ISWC 2012. ISWC 2012. Lecture Notes in Computer Science, Vol. 7649. Kaplan, A. & Haenlein, M.(2010). User of the world, unite! The challenges and opportunities of social media. Business Horizons, 53, p.59-68. Ku, L. W. & Chen, H. H.(2007). Mining Opinions from the Web:Beyond Relevance Retrieval. Journal of American Society for Information Science and Technology, 58, p.1838-1850. Larsson, A. & Moe, H.(2011). Studying political microblogging: Twitter users in the 2010 Swedish election campaign. New Media and Society. Vol. 14, p.727-747. Lim, M.(2012). Clicks, cabs, and coffee houses: Social media and oppositional movements in Egypt, 2004-2011. Journal of Communication. Vol.62, p.231-248. Liu, Y., Huang, X., An, A. & Yu, X.(2007). ARSA: A sentiment-aware model for predicting sales performance using blogs. In Proceedings of the 30th annual international ACMSIGIR conference on research and development in information retrieval. p.607-614. New York. Liu, B.(2009). Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies, Vol.5, No.1, p.1-167. Manning, C. & Schutze, H.(1999). MITCogNet. Foundations of statistical natural language processing, Vol.59. MIT Press. Mostafa, M.(2013). More than words: Social networks’text mining for customer brand sentiments. Expert systems with applications, Vol.40, Issue 10, p.4241-4251. Mukherjee, S.(2012). Sentiment analysis-A literature survey, Indian Institute of Technology, Bombay. Na, J., Thet, T., & Khoo, C.(2010). Comparing sentiment expression in movie reviews from four online genres. Online Information Review. Vol. 34, p.317-338. Pang, B., Lee, L. & Viathyanathan, S.(2002). Thumbs up? Sentiment classification using machine learning techniques. In Proceeding of the ACL-02 conference on empirical methods in natural language processing, Vol. 10, p. 79-86, Association for Computational Linguistics. Park, N., Kee, K. F. & Valenzuela, S. (2009). Being immersed in social networking environment:Facebook groups, uses and gratifications, and social outcomes. Cyber Psychology & Behavior, 12(6), p.729-733. Popescu, A., & Etzioni, O.(2005). Extracting product features and opinions from reviews. In Proceedings of the conference on human language technology and empirical methods in natural language processing, p.339-346. Association for Computational Linguistics. Schumaker, R. & Chen, H.(2006). Textual Analysis of Stock Market Prediction Using Financial News Articles. 12th Americas Conference on Information Systems (AMCIS). Thet, T., Na, J. & Khoo, C.(2008). Aspects-based sentiment analysis of movie reviews on discussion boards. Journal of Information Science. Vol. 36, p. 823-848. Tsantis, L. & Castellani, J.(2001).Enhancing learning environments through solution-based knowledge discovery tools, Journal of Special Education Technology,Vol.16, Issue 4, p.1-35. Tumasjan, A., Sprenger, T., Sandner, P. & Welpe, I.(2011). Election forecasts with Twitter: How 140 characters reflect the political landscape. Social Science Computer Review. Vol. 29, p.402-418. Turney, P. D.(2002). Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), Philadelphia, July, p.417-424. Wang, S. G., Wei, Y. J., Zhang,W., Li, D.Y. & Li, W.(2007). A hybrid method of feature selection for Chinese text sentiment classification. In Proceedings of the 4th International Conference on Fuzzy Systems and Knowledge Discovery, p.435-439.IEEE Computer Society. Williams, C. & Gulati, G.(2008). What is a social network worth? Facebook and vote share in the 2008 presidential primaries. In the annual meeting of the American political science association, p.1-17. Boston, MA: APSA. Yessenov, K. & Misailovic, S.(2009). Sentiment analysis of movie review comments. Methodology, p.1-17. Yi, J., Nasukawa, T., Bunescu, R. & Niblack, W.(2003). Sentiment analyzer: Extracting sentiment about a given topic using natural language-processing techniques. In proceedings of the 3rd IEEE international conference on data mining (ICDM’ 2003), p.427-434. Los Alamitos, CA. Yong, Y., Qiang Y., Guirong, X. & Wenyuan D.(2002). Transferring Naïve Bayes classifiers for text classification. In Conference of the American Association for Artificial Intelligence (AAAI). Zhang,W., Xu, H. & Wan, W.(2012). Weakness Finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis. Expert System with Applications, Vol.39, Issue 11, p.10283-10291. |