A. Andreevskaia and S. Bergler, When Specialists and Generalists Work Together: Overcoming Domain Dependence in Sentiment Tagging, Proceedings of ACL-2008: HLT, pp.290-298, 2008.

A. Aue and M. Gamon, Customizing Sentiment Classifiers to New Domains: a Case Study, Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP-05, 2005.

R. Baker, S. Mello, M. M. Rodrigo, and A. C. Graesser, Better to be frustrated than bored: The incidence, persistence, and impact of learners??? cognitive???affective states during interactions with three different computer-based learning environments, International Journal of Human-Computer Studies, vol.68, issue.4, pp.223-241, 2010.
DOI : 10.1016/j.ijhcs.2009.12.003

A. Balahur and M. Turchi, Multilingual Sentiment Analysis using Machine Translation, Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis, 2012.

C. Banea, R. Mihalcea, and J. Wiebe, Multilingual Sentiment and Subjectivity Analysis, Multilingual Natural Language Processing Zitouni and Dan Bikel, 2011.

F. Chaumartin, UPAR7, Proceedings of the 4th International Workshop on Semantic Evaluations, SemEval '07, pp.422-425, 2007.
DOI : 10.3115/1621474.1621568

URL : https://hal.archives-ouvertes.fr/hal-00611242

P. Ekman, Universals and cultural differences in the judgments of facial expressions of emotion., Nebraska Symposium on Motivation, pp.207-282, 1971.
DOI : 10.1037/0022-3514.53.4.712

A. Esuli and F. Sebastiani, SentiWordNet: A Publicly Available Lexical Resource for Opinion Mining, Proceedings of the 5th Conference on Language Resources and Evaluation, pp.417-422, 2006.

M. Hu and B. Liu, Mining and summarizing customer reviews, Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '04, 2004.
DOI : 10.1145/1014052.1014073

M. Kamada, M. Ambe, K. Hata, E. Yamada, and Y. Fujimura, The Effect of the Emotion-related Channel in 3D Virtual Communication Environments, PsychNology Journal, vol.3, issue.3, pp.312-327, 2005.

S. Kim and E. Hovy, Identifying and analyzing judgment opinions, Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics -, pp.200-207, 2006.
DOI : 10.3115/1220835.1220861

B. Kort, R. Reilly, and R. W. Picard, An affective model of interplay between emotions and learning: reengineering educational pedagogy-building a learning companion, Proceedings IEEE International Conference on Advanced Learning Technologies, 2001.
DOI : 10.1109/ICALT.2001.943850

B. Liu, Sentiment Analysis and Opinion Mining, 2012.

S. Mohammad, #Emotional Tweets, Proceedings of the First Joint Conference on Lexical and Computational Semantics (*Sem), 2012.

T. Nakagawa, K. Inui, and S. Kurohashi, Dependency Tree-based Sentiment Classification using CRFs with Hidden Variables, Proceedings of Human Language Technologies: the 2010 Annual Conference of the North American Chapter of the ACL, pp.786-794, 2010.

B. Pang, L. Lee, and S. Vaithyanathan, Thumbs up? Sentiment classication using machine learning techniques, Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing, p.7986, 2002.

L. Polanyi and A. Zaenen, Contextual Valence Shifters, Computing Attitude and Affect in Text: Theory and Applications, p.19, 2004.
DOI : 10.1007/1-4020-4102-0_1

J. Read and J. Caroll, Weakly supervised techniques for domain-independent sentiment classification, Proceeding of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion, TSA '09, pp.45-52, 2009.
DOI : 10.1145/1651461.1651470

F. Reis and R. Malheiro, Umniversity virtual world platform for massive open online courses University Platform, IE Challenges 2011 VII International Conference on ICT in Education, 2011.

M. Schröder, P. Baggia, F. Burkhardt, C. Pelachaud, C. Peter et al., EmotionML ??? An Upcoming Standard for Representing Emotions and Related States, Proceedings of the 4th International Conference on Affective Computing and Intelligent Interaction -Volume Part I, pp.316-325, 2011.
DOI : 10.1007/978-3-540-74889-2_39

R. Socher, J. Pennington, E. H. Huang, A. Y. Ng, and C. D. Manning, Semi- Supervised Recursive Autoencoders for Predicting Sentiment Distributions, Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP 2011), pp.151-161, 2011.

C. Strapparava and A. Valitutti, WordNet-Affect: an affective extension of WordNet, Proceedings of the Language Resources and Evaluation Conference, pp.1083-1086, 2004.

C. Strapparava and R. Mihalcea, SemEval-2007 task 14, Proceedings of the 4th International Workshop on Semantic Evaluations, SemEval '07, 2007.
DOI : 10.3115/1621474.1621487

P. Turney, Thumbs up or thumbs down? Semantic orientation applied to unsupervised classication of reviews, Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, p.417424, 2002.

T. Wilson, J. Wiebe, and P. Hoffmann, Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis, Computational Linguistics, vol.20, issue.2, pp.399-433, 2009.
DOI : 10.1145/944012.944013