A Hybrid Imbalanced Data Learning Framework to Tackle Opinion Imbalance in Movie Reviews

[1]  Le Yi Wang,et al.  Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision , 2017, EMNLP.

[2]  João Pedro Hespanha,et al.  One-class slab support vector machine , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

[3]  Zhong Yao,et al.  Research on Semantic Orientation Classification of Chinese Online Product Reviews Based on Multi-Aspect Sentiment Analysis , 2016, 2016 IEEE/ACM 3rd International Conference on Big Data Computing Applications and Technologies (BDCAT).

[4]  Dazhe Zhao,et al.  Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

[5]  Danushka Bollegala,et al.  Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification , 2011, ACL.

[6]  Krung Sinapiromsaran,et al.  The Effective Redistribution For Imbalance Dataset: Relocating Safe-Eevel Smote With Minority Outcast Handling , 2016 .

[7]  Bosko Nikolic,et al.  Reliable Baselines for Sentiment Analysis in Resource-Limited Languages: The Serbian Movie Review Dataset , 2016, LREC.

[8]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[9]  Jordan M. Malof,et al.  The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support , 2012, Neural Networks.

[10]  Hsinchun Chen,et al.  AI and Opinion Mining , 2010, IEEE Intelligent Systems.

[11]  Taghi M. Khoshgoftaar,et al.  RUSBoost: A Hybrid Approach to Alleviating Class Imbalance , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[12]  Sajid Ahmed,et al.  Hybrid Methods for Class Imbalance Learning Employing Bagging with Sampling Techniques , 2017, 2017 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS).