Mining Social Emotions from Affective Text
暂无分享,去创建一个
Rong Yan | Li Zhang | Yong Yu | Shenghua Bao | Zhong Su | Shengliang Xu | Dingyi Han | Yong Yu | Li Zhang | Shenghua Bao | Dingyi Han | Shengliang Xu | Rong Yan | Zhong Su
[1] Christopher D. Manning,et al. Optimizing Chinese Word Segmentation for Machine Translation Performance , 2008, WMT@ACL.
[2] Ivan Titov,et al. A Joint Model of Text and Aspect Ratings for Sentiment Summarization , 2008, ACL.
[3] Bing Liu,et al. Mining and summarizing customer reviews , 2004, KDD.
[4] Thomas L. Griffiths,et al. The Author-Topic Model for Authors and Documents , 2004, UAI.
[5] Maarten de Rijke,et al. How to Overcome Tiredness: Estimating Topic-Mood Associations , 2007, ICWSM.
[6] Darren Gergle,et al. Emotion rating from short blog texts , 2008, CHI.
[7] J. Lafferty,et al. Mixed-membership models of scientific publications , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[8] Andrea Esuli,et al. SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining , 2006, LREC.
[9] Shady Shehata,et al. Enhancing Search Engine Quality Using Concept-based Text Retrieval , 2007, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07).
[10] Carlo Strapparava,et al. WordNet Affect: an Affective Extension of WordNet , 2004, LREC.
[11] Oren Etzioni,et al. Extracting Product Features and Opinions from Reviews , 2005, HLT.
[12] Carlo Strapparava,et al. SemEval-2007 Task 14: Affective Text , 2007, Fourth International Workshop on Semantic Evaluations (SemEval-2007).
[13] Ramesh Nallapati,et al. Joint latent topic models for text and citations , 2008, KDD.
[14] Satoshi Morinaga,et al. Mining product reputations on the Web , 2002, KDD.
[15] Gilad Mishne,et al. MoodViews: Tracking and Searching Mood-Annotated Blog Posts , 2007, ICWSM.
[16] Yong Yu,et al. Tapping on the potential of q&a community by recommending answer providers , 2008, CIKM '08.
[17] Andrew McCallum,et al. Topics over time: a non-Markov continuous-time model of topical trends , 2006, KDD '06.
[18] Wei-Hao Lin,et al. A Joint Topic and Perspective Model for Ideological Discourse , 2008, ECML/PKDD.
[19] Mark Steyvers,et al. Finding scientific topics , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[20] Chong Wang,et al. MusicSense: contextual music recommendation using emotional allocation modeling , 2007, ACM Multimedia.
[21] Gilad Mishne,et al. Capturing Global Mood Levels using Blog Posts , 2006, AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs.
[22] Henry Lieberman,et al. Visualizing the affective structure of a text document , 2003, CHI Extended Abstracts.
[23] Bo Pang,et al. Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.
[24] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[25] Carlo Strapparava,et al. Learning to identify emotions in text , 2008, SAC '08.
[26] Henry Lieberman,et al. A model of textual affect sensing using real-world knowledge , 2003, IUI '03.
[27] Hsin-Hsi Chen,et al. Emotion Classification Using Web Blog Corpora , 2007, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07).
[28] Xu Ling,et al. Topic sentiment mixture: modeling facets and opinions in weblogs , 2007, WWW '07.
[29] Yuji Matsumoto,et al. Emotion Classification Using Massive Examples Extracted from the Web , 2008, COLING.
[30] Gilad Mishne,et al. Why Are They Excited? Identifying and Explaining Spikes in Blog Mood Levels , 2006, EACL.
[31] Cecilia Ovesdotter Alm,et al. Emotions from Text: Machine Learning for Text-based Emotion Prediction , 2005, HLT.