SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Learning extraction patterns for subjective expressions
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Studies on gesture expressivity for a virtual agent
Speech Communication
CLaC and CLaC-NB: knowledge-based and corpus-based approaches to sentiment tagging
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Web Forum Sentiment Analysis Based on Topics
CIT '09 Proceedings of the 2009 Ninth IEEE International Conference on Computer and Information Technology - Volume 02
The Visual Computer: International Journal of Computer Graphics
Emotion detection in email customer care
CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
Smokey: automatic recognition of hostile messages
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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The world-wide emerging e-society generates new ways to communicate among people with different cultures and backgrounds. Communication systems as forums, blogs, and comments are widely used being easily accessible to end users. Studying and interpreting user generated data/text available on the Internet is a complex and time consuming duty for any human analyst. This study proposes an interdisciplinary approach to modeling the flaming phenomenon (hot, aggressive discussions) in on-line Italian forums. The model is based on the analysis of psycho/cognitive/linguistic interaction modalities among participants to web communities and on state-of-the art machine learning techniques and natural language processing technology. This research gives the opportunity to better understand and model the dynamics of web forums, including the language involved, the interaction between users, the relation between topic and users, language intensity and differences in behavior by age and gender.