A. Abdaoui, J. Azé, S. Bringay, and P. Poncelet, Collaborative Content-Based Method for Estimating User Reputation in Online Forums, 16th Web Information Systems Engineering Conference, Part II, pp.292-299, 2015.
DOI : 10.1007/978-3-319-26187-4_26
URL : https://hal.archives-ouvertes.fr/lirmm-01222961

A. Abdaoui, J. Azé, S. Bringay, and P. Poncelet, FEEL : French Extended Emotional Lexicon, in: ELRA Catalogue of Language Resources, pp.41-639, 2014.

M. Anjaria and R. M. Guddeti, Influence factor based opinion mining of Twitter data using supervised learning, 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS), pp.1-8, 2014.
DOI : 10.1109/COMSNETS.2014.6734907

N. Asher, F. Benamara, and Y. Y. Mathieu, Distilling Opinion in Discourse: A Preliminary Study, the International Conference on Computational Linguistics, pp.7-10, 2008.
URL : https://hal.archives-ouvertes.fr/halshs-00751060

M. Augustyn, B. Hamou, S. Bloquet, G. Goossens, V. Loiseau et al., Lexique des affects : constitution de ressources pédagogiques numériques., in: Colloque International Des étudiants-Chercheurs En Didactique Des Langues et Linguistique, pp.407-414, 2006.

C. Cherry, S. M. Mohammad, and B. De-bruijn, Binary Classifiers and Latent Sequence Models for Emotion Detection in Suicide Notes, Biomedical Informatics Insights, vol.5, pp.147-154, 2012.
DOI : 10.4137/BII.S8933

A. Devitt and K. Ahmad, Is there a language of sentiment? An analysis of lexical resources for sentiment analysis, Language Resources and Evaluation, vol.39, issue.3, pp.475-511, 2013.
DOI : 10.1007/s10579-013-9223-6

P. Ekman, An argument for basic emotions, Cognition & Emotion, vol.6, issue.3, pp.169-200, 1992.
DOI : 10.1080/02699939208411068

M. Erdmann, K. Nakayama, T. Hara, and S. Nishio, Improving the extraction of bilingual terminology from Wikipedia, ACM Transactions on Multimedia Computing, Communications, and Applications, vol.5, issue.4, pp.1-3117, 2009.
DOI : 10.1145/1596990.1596995

V. Francisco and P. Gervás, Exploring the compositionality of emotions in text: Word emotions, sentence emotions and automated tagging, AAAI-06 Workshop on Computational Aesthetics: Artificial Intelligence Approaches to Beauty and Happiness, 2006.

N. Gala and C. Brun, Propagation de polarités dans des familles de mots: impact de la morphologie dans la construction d'un lexique pour l'analyse d'opinions, pp.495-502, 2012.

M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann et al., The WEKA data mining software, ACM SIGKDD Explorations Newsletter, vol.11, issue.1, pp.10-18, 2009.
DOI : 10.1145/1656274.1656278

H. Hamdan, P. Bellot, and F. Bechet, Sentiment Lexicon-Based Features for Sentiment Analysis in Short Text, 16th International Conference on Intelligent Text Processing and Computational Linguistics, pp.1-10, 2015.

T. Hamon, A. Fraisse, P. Paroubek, P. Zweigenbaum, and C. Grouin, Analyse des émotions, sentiments et opinions exprimés dans les tweets : présentation et résultats de l'édition 2015 du défi fouille de texte (DEFT), in: 11eme Défi Fouille de Texte, pp.1-11, 2015.

A. Harb, M. Plantié, G. Dray, M. Roche, F. Trousset et al., Web opinion mining, Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology, CSTST '08, pp.211-217, 2008.
DOI : 10.1145/1456223.1456269
URL : https://hal.archives-ouvertes.fr/lirmm-00329525

C. Homburg, L. Ehm, and M. Artz, Measuring and Managing Consumer Sentiment in an Online Community Environment, Journal of Marketing Research, vol.52, issue.5, pp.629-641, 2015.
DOI : 10.1509/jmr.11.0448

S. Kiritchenko, X. Zhu, and S. M. Mohammad, Sentiment analysis of short informal texts, Journal of Artificial Intelligence Research, pp.723-762, 2014.

M. Lafourcade, A. Joubert, and N. L. Brun, Games with a Purpose (GWAPS), pp.978-979, 2015.
DOI : 10.1002/9781119136309
URL : https://hal.archives-ouvertes.fr/lirmm-01382269

M. Lafourcade, N. Le-brun, and A. Joubert, Collecting and Evaluating Lexical Polarity with a Game with a Purpose, the International Conference on Recent Advances in Natural Language Processing, pp.329-337, 2015.

M. Lafourcade, N. Le-brun, and A. Joubert, Vous aimez ?...ou pas ? LikeIt, un jeu pour construire une ressource lexicale de polarité, Actes de La 22e Conférence Sur Le Traitement Automatique Des Langues Naturelles. Association pour le Traitement Automatique des Langues, pp.330-336, 2015.
URL : https://hal.archives-ouvertes.fr/lirmm-01471662

M. S. Lewis-beck and R. Dassonneville, Forecasting elections in Europe: Synthetic models, Research & Politics, vol.30, issue.2, pp.1-11, 2015.
DOI : 10.7208/chicago/9780226922164.001.0001

S. Melzi, A. Abdaoui, J. Azé, S. Bringay, P. Poncelet et al., Patient's rationale: Patient Knowledge retrieval from health forums, 6th International Conference on eHealth, Telemedicine, and Social Medicine, pp.140-145, 2014.

S. Mohammad, Portable Features for Classifying Emotional Text, the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.587-591, 2012.

S. M. Mohammad and S. Kiritchenko, Using Hashtags to Capture Fine Emotion Categories from Tweets, Computational Intelligence, vol.44, issue.3, pp.301-326, 2015.
DOI : 10.1111/coin.12024

S. M. Mohammad and P. D. Turney, CROWDSOURCING A WORD-EMOTION ASSOCIATION LEXICON, Computational Intelligence, vol.39, issue.2, pp.436-465, 2013.
DOI : 10.1111/j.1467-8640.2012.00460.x

S. M. Mohammad, X. Zhu, S. Kiritchenko, and J. Martin, Sentiment, emotion, purpose, and style in electoral tweets, Information Processing & Management, vol.51, issue.4, pp.480-499, 2015.
DOI : 10.1016/j.ipm.2014.09.003

P. Nakov, Z. Kozareva, A. Ritter, S. Rosenthal, V. Stoyanov et al., Semeval-2013 task 2: Sentiment analysis in twitter, International Workshop on Semantic Evaluation, p.7, 2013.

A. Neviarouskaya, H. Prendinger, and M. Ishizuka, SentiFul: A Lexicon for Sentiment Analysis, IEEE Transactions on Affective Computing, vol.2, issue.1, pp.22-36, 2011.
DOI : 10.1109/T-AFFC.2011.1

F. J. Och and H. Ney, The Alignment Template Approach to Statistical Machine Translation, Computational Linguistics, vol.25, issue.4, pp.417-449, 2004.
DOI : 10.1162/089120103321337458

B. Pang and L. Lee, Opinion mining and sentiment analysis. Foundations and trends in information retrieval 2, pp.1-135, 2008.

L. Pearl and M. Steyvers, Identifying emotions, intentions, and attitudes in text using a game with a purpose, the Naacl Hlt 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, pp.71-79, 2010.

J. W. Pennebaker, C. K. Chung, M. Ireland, A. Gonzales, and R. J. Booth, The development and psychometric properties of LIWC2007, 2007.

J. P. Pestian, P. Matykiewicz, M. Linn-gust, B. South, O. Uzuner et al., Sentiment Analysis of Suicide Notes: A Shared Task, Biomedical Informatics Insights, vol.5, issue.3, 2012.
DOI : 10.4137/BII.S9042

J. C. Platt, Advances in Kernel Methods, pp.185-208, 1999.

R. Plutchik, A general psychoevolutionary theory of emotion. Theories of emotion 1, 1980.

G. Qiu, B. Liu, J. Bu, and C. Chen, Expanding Domain Sentiment Lexicon through Double Propagation, the International Joint Conference on Artificial Intelligence, pp.1199-1204, 2009.

Y. Rao, J. Lei, L. Wenyin, Q. Li, and M. Chen, Building emotional dictionary for sentiment analysis of online news, World Wide Web, vol.17, issue.1, pp.723-742, 2013.
DOI : 10.1007/s11280-013-0221-9

S. Rosenthal, P. Nakov, S. Kiritchenko, S. Mohammad, A. Ritter et al., SemEval-2015 Task 10: Sentiment Analysis in Twitter, Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pp.451-463, 2015.
DOI : 10.18653/v1/S15-2078

F. Sadat, M. Yoshikawa, and S. Uemura, Bilingual terminology acquisition from comparable corpora and phrasal translation to cross-language information retrieval, Proceedings of the 41st Annual Meeting on Association for Computational Linguistics , ACL '03, pp.141-144, 2003.
DOI : 10.3115/1075178.1075201

H. Schmid, Probabilistic part-of-speech tagging using decision trees, the International Conference on New Methods in Language Processing, pp.44-49, 1994.

P. J. Stone, D. C. Dunphy, and M. S. Smith, The General Inquirer: A Computer Approach to Content Analysis, Journal of Regional Science, vol.8, issue.1, pp.113-116, 1966.

C. Strapparava and R. Mihalcea, Learning to identify emotions in text, Proceedings of the 2008 ACM symposium on Applied computing , SAC '08, pp.1556-1560, 2008.
DOI : 10.1145/1363686.1364052

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

G. Tsoumakas, I. Katakis, and I. Vlahavas, Mining Multi-label Data, Data Mining and Knowledge Discovery Handbook, pp.667-685, 2009.
DOI : 10.1007/978-0-387-09823-4_34

P. D. Turney, Thumbs up or thumbs down?, Proceedings of the 40th Annual Meeting on Association for Computational Linguistics , ACL '02, pp.417-424, 2002.
DOI : 10.3115/1073083.1073153

V. Van-asch, Macro-and micro-averaged evaluation measures Belgium: University of Antwerp, 2012.

J. Velcin, Y. Kim, C. Brun, J. Dormagen, E. Sanjuan et al., Investigating the image of entities in social media: Dataset design and first results, Language Resources and Evaluation Conference, pp.9-818

T. Wilson, J. Wiebe, and P. Hoffmann, Recognizing contextual polarity in phrase-level sentiment analysis, Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing , HLT '05, pp.347-354, 2005.
DOI : 10.3115/1220575.1220619