A. Balahur, Sentiment analysis in social media texts, 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pp.120-128, 2013.

N. Béchet, P. Cellier, T. Charnois, B. Crémilleux, and E. S. Quiniou, SDMC : un outil en ligne d'extraction de motifs séquentiels pour la fouille de textes, Conférence Francophone sur l'Extraction et la Gestion des Connaissances, 2013.

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

B. Liu, Sentiment Analysis and Opinion Mining, 2012.
DOI : 10.2200/s00416ed1v01y201204hlt016

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.244.9480

S. M. Mohammad, P. D. Et, and . Turney, Emotions Evoked by Common Words and Phrases : Using Mechanical Turk to Create an Emotion Lexicon, Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, pp.26-34, 2010.

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

K. Roberts, M. A. Roach, J. Johnson, J. Guthrie, and S. M. Harabagiu, Empatweet : Annotating and detecting emotions on twitter, Eight International Conference on Language Resources and Evaluation, 2012.

P. J. Stone, D. C. Dunphy, M. S. Smith, and D. M. Ogilvie, The General Inquirer : A Computer Approach to Content Analysis, 1966.

C. Strapparava, R. Et, and . 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

M. Zhang, B. Kao, C. Lap-yip, and E. D. Cheung, A gsp-based efficient algorithm for mining frequent sequences, 2002.