FCE-SVM: a new cluster based ensemble method for opinion mining from social media
暂无分享,去创建一个
Jian Ma | Gang Wang | Shanlin Yang | Daqing Zheng | G. Wang | Jian Ma | Shanlin Yang | Da-guo Zheng
[1] Fei-Yue Wang,et al. Sentiment analysis of Chinese documents: From sentence to document level , 2009 .
[2] R. Iman,et al. Approximations of the critical region of the fbietkan statistic , 1980 .
[3] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[4] R. Polikar,et al. Ensemble based systems in decision making , 2006, IEEE Circuits and Systems Magazine.
[5] Terry Windeatt,et al. Decision Tree Simplification For Classifier Ensembles , 2004, Int. J. Pattern Recognit. Artif. Intell..
[6] Dino Isa,et al. Text Document Preprocessing with the Bayes Formula for Classification Using the Support Vector Machine , 2008, IEEE Transactions on Knowledge and Data Engineering.
[7] Benjamin Ka-Yin T'sou,et al. Combining a large sentiment lexicon and machine learning for subjectivity classification , 2010, 2010 International Conference on Machine Learning and Cybernetics.
[8] Björn W. Schuller,et al. New Avenues in Opinion Mining and Sentiment Analysis , 2013, IEEE Intelligent Systems.
[9] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[10] Jian Ma,et al. Sentiment classification: The contribution of ensemble learning , 2014, Decis. Support Syst..
[11] Zhi-Hua Zhou,et al. Ensemble Methods: Foundations and Algorithms , 2012 .
[12] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[13] John Blitzer,et al. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification , 2007, ACL.
[14] Pei-Chann Chang,et al. Harnessing consumer reviews for marketing intelligence: a domain-adapted sentiment classification approach , 2015, Inf. Syst. E Bus. Manag..
[15] Rudy Prabowo,et al. Sentiment analysis: A combined approach , 2009, J. Informetrics.
[16] Jian Ma,et al. A comparative assessment of ensemble learning for credit scoring , 2011, Expert Syst. Appl..
[17] Ling Liu,et al. Encyclopedia of Database Systems , 2009, Encyclopedia of Database Systems.
[18] Christopher S. G. Khoo,et al. Aspect-based sentiment analysis of movie reviews on discussion boards , 2010, J. Inf. Sci..
[19] Stephen L. Chiu,et al. Fuzzy Model Identification Based on Cluster Estimation , 1994, J. Intell. Fuzzy Syst..
[20] James C. Bezdek,et al. On cluster validity for the fuzzy c-means model , 1995, IEEE Trans. Fuzzy Syst..
[21] Mike Thelwall,et al. Topic-based sentiment analysis for the social web: The role of mood and issue-related words , 2013, J. Assoc. Inf. Sci. Technol..
[22] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[23] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[24] Nicolás García-Pedrajas,et al. Constructing Ensembles of Classifiers by Means of Weighted Instance Selection , 2009, IEEE Transactions on Neural Networks.
[25] Razvan C. Bunescu,et al. Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques , 2003, Third IEEE International Conference on Data Mining.
[26] Chih-Ping Wei,et al. A sales forecasting model for consumer products based on the influence of online word-of-mouth , 2015, Inf. Syst. E Bus. Manag..
[27] Jian Ma,et al. Igf-bagging: Information gain based feature selection for bagging , 2011 .
[28] Bo Pang,et al. Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.
[29] Hsinchun Chen,et al. Special Issue on Social Media Analytics: Understanding the Pulse of the Society , 2011, IEEE Trans. Syst. Man Cybern. Part A.
[30] Kazutaka Shimada,et al. Movie Review Classification Based on a Multiple Classifier , 2007, PACLIC.
[31] Mike Thelwall,et al. Sentiment strength detection for the social web , 2012, J. Assoc. Inf. Sci. Technol..
[32] Fabrizio Sebastiani,et al. Machine learning in automated text categorization , 2001, CSUR.
[33] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[34] Peter D. Turney. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews , 2002, ACL.
[35] Thomas G. Dietterich. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization , 2000, Machine Learning.
[36] Janyce Wiebe,et al. RECOGNIZING STRONG AND WEAK OPINION CLAUSES , 2006, Comput. Intell..
[37] Ying Su,et al. Ensemble Learning for Sentiment Classification , 2012, CLSW.
[38] Larry S. Yaeger,et al. Sentiment Mining Using Ensemble Classification Models , 2008, SCSS.
[39] David M. Pennock,et al. Mining the peanut gallery: opinion extraction and semantic classification of product reviews , 2003, WWW '03.
[40] Lillian Lee,et al. Opinion Mining and Sentiment Analysis , 2008, Found. Trends Inf. Retr..
[41] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[42] Soo-Min Kim,et al. Determining the Sentiment of Opinions , 2004, COLING.
[43] Hsinchun Chen,et al. A Lexicon-Enhanced Method for Sentiment Classification: An Experiment on Online Product Reviews , 2010, IEEE Intelligent Systems.
[44] Hsinchun Chen,et al. Affect Analysis of Web Forums and Blogs Using Correlation Ensembles , 2008, IEEE Transactions on Knowledge and Data Engineering.
[45] Irina Rish,et al. An empirical study of the naive Bayes classifier , 2001 .
[46] Ron Kohavi,et al. Bias Plus Variance Decomposition for Zero-One Loss Functions , 1996, ICML.
[47] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[48] Rui Xia,et al. Ensemble of feature sets and classification algorithms for sentiment classification , 2011, Inf. Sci..
[49] Diego Reforgiato Recupero,et al. AVA: Adjective-Verb-Adverb Combinations for Sentiment Analysis , 2008, IEEE Intelligent Systems.
[50] Hsinchun Chen,et al. Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums , 2008, TOIS.
[51] Jörg Kindermann,et al. Text Categorization with Support Vector Machines. How to Represent Texts in Input Space? , 2002, Machine Learning.
[52] Marie-Francine Moens,et al. A machine learning approach to sentiment analysis in multilingual Web texts , 2009, Information Retrieval.