Grasp the implicit features: Hierarchical emotion classification based on topic model and SVM
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Hua Xu | Fan Zhang | Xiaomin Sun | Junhui Deng | Jiushuo Wang | Xiaomin Sun | Hua Xu | Junhui Deng | Fan Zhang | Jiushuo Wang
[1] Xinying Xu,et al. Hidden sentiment association in chinese web opinion mining , 2008, WWW.
[2] Xiaolong Wang,et al. On-line Hot Topic Recommendation Using Tolerance Rough Set Based Topic Clustering , 2010, J. Comput..
[3] Christopher C. Yang,et al. An Association-Based Unified Framework for Mining Features and Opinion Words , 2015, ACM Trans. Intell. Syst. Technol..
[4] Zhen Hai,et al. Implicit Feature Identification via Co-occurrence Association Rule Mining , 2011, CICLing.
[5] Marie-Francine Moens,et al. Automatic Sentiment Analysis in On-line Text , 2007, ELPUB.
[6] Peng Wang,et al. A robust framework for short text categorization based on topic model and integrated classifier , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).
[7] Diana Inkpen,et al. Prior and contextual emotion of words in sentential context , 2014, Comput. Speech Lang..
[8] Carlo Strapparava,et al. Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text , 2010 .
[9] Ting Liu,et al. Creating a Fine-Grained Corpus for Chinese Sentiment Analysis , 2015, IEEE Intelligent Systems.
[10] Yejin Choi,et al. Connotation Lexicon: A Dash of Sentiment Beneath the Surface Meaning , 2013, ACL.
[11] Hua Xu,et al. A rule-based approach to emotion cause detection for Chinese micro-blogs , 2015, Expert Syst. Appl..
[12] Hua Xu,et al. Implicit Feature Detection via a Constrained Topic Model and SVM , 2013, EMNLP.
[13] Luc Van Gool,et al. Modeling scenes with local descriptors and latent aspects , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[14] Shuzhi Sam Ge,et al. Emotion analysis of children's stories with context information , 2014, Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific.
[15] Francis R. Bach,et al. Rethinking LDA: Moment Matching for Discrete ICA , 2015, NIPS.
[16] 1993 International Joint Conference on AI , 1994, IEEE Expert.
[17] Xiaojin Zhu,et al. Latent Dirichlet Allocation with Topic-in-Set Knowledge , 2009, HLT-NAACL 2009.
[18] Kim Schouten,et al. Finding Implicit Features in Consumer Reviews for Sentiment Analysis , 2014, ICWE.
[19] Ye Wei,et al. A Self-Adaptive Hidden Markov Model for Emotion Classification in Chinese Microblogs , 2015 .
[20] Susumu Horiguchi,et al. Learning to classify short and sparse text & web with hidden topics from large-scale data collections , 2008, WWW.
[21] Matthew Purver,et al. Predicting Emotion Labels for Chinese Microblog Texts , 2012, SDAD@ECML/PKDD.
[22] Jingping Bi,et al. A word distributed representation based framework for large-scale short text classification , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).
[23] Qiaozhu Mei,et al. Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis , 2014, ICML.
[24] Stan Szpakowicz,et al. Hierarchical versus Flat Classification of Emotions in Text , 2010, HLT-NAACL 2010.
[25] Carlo Strapparava,et al. Learning to identify emotions in text , 2008, SAC '08.
[26] Desheng Dash Wu,et al. A Decision Support Approach for Online Stock Forum Sentiment Analysis , 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[27] Diana Inkpen,et al. Detecting Emotion Stimuli in Emotion-Bearing Sentences , 2015, CICLing.
[28] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[29] Hsin-Hsi Chen,et al. Mining opinions from the Web: Beyond relevance retrieval , 2007 .
[30] Thomas L. Griffiths,et al. Hierarchical Topic Models and the Nested Chinese Restaurant Process , 2003, NIPS.
[31] Janyce Wiebe,et al. An Investigation for Implicatures in Chinese : Implicatures in Chinese and in English are similar ! , 2014, WASSA@ACL.
[32] Brian D. Davison,et al. Empirical study of topic modeling in Twitter , 2010, SOMA '10.
[33] Bing Liu,et al. Opinion observer: analyzing and comparing opinions on the Web , 2005, WWW '05.
[34] Mengen Chen,et al. Short Text Classification Improved by Learning Multi-Granularity Topics , 2011, IJCAI.
[35] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[36] Andrew McCallum,et al. Rethinking LDA: Why Priors Matter , 2009, NIPS.
[37] Jiun-Hung Chen,et al. A multi-label classification based approach for sentiment classification , 2015, Expert Syst. Appl..
[38] P. Ekman,et al. DIFFERENCES Universals and Cultural Differences in the Judgments of Facial Expressions of Emotion , 2004 .
[39] Saif Mohammad,et al. CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON , 2013, Comput. Intell..
[40] Hua Xu,et al. Hierarchical emotion classification and emotion component analysis on chinese micro-blog posts , 2015, Expert Syst. Appl..
[41] Jon Atle Gulla,et al. Sentiment analysis in a hybrid hierarchical classification process , 2012, Seventh International Conference on Digital Information Management (ICDIM 2012).
[42] Bin Gu,et al. Incremental learning for ν-Support Vector Regression , 2015, Neural Networks.