N. Béchet, J. Chauché, V. Prince, and M. Roche, How to combine text-mining methods to validate induced verb-object relations?, Comput. Sci. Inf. Syst, vol.11, issue.1, pp.133-155, 2014.

J. Chamberlain, K. Fort, U. Kruschwitz, M. Lafourcade, and M. Poesio, Using games to create language resources: Successes and limitations of the approach, The Peoples Web Meets NLP, pp.3-44, 2013.
URL : https://hal.archives-ouvertes.fr/lirmm-00831442

M. Conover, B. Gonçalves, J. Ratkiewicz, A. Flammini, and F. Menczer, Predicting the political alignment of twitter users, Proceedings of 3rd IEEE Conference on Social Computing (SocialCom), 2011.

J. Costa, C. Silva, M. Antunes, and B. Ribeiro, Defining semantic meta-hashtags for twitter classification, Adaptive and Natural Computing Algorithms, pp.226-235, 2013.

D. Faure and C. Nedellec, Knowledge acquisition of predicate argument structures from technical texts using machine learning: The system asium, Proceedings of EKAW, pp.329-334, 1999.

M. Gamon, Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis, Proceedings of COL-ING '04, 2004.

I. Guyon and A. Elisseeff, An introduction to variable and feature selection, The Journal of Machine Learning Research, vol.3, pp.1157-1182, 2003.

M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann et al., The weka data mining software: an update, SIGKDD Explor. Newsl, vol.11, issue.1, pp.10-18, 2009.

T. Hirano, Y. Matsuo, and G. Kikui, Detecting semantic relations between named entities in text using contextual features, Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, pp.157-160, 2007.

K. S. Jones, A statistical interpretation of term specificity and its application in retrieval, Journal of Documentation, vol.28, pp.11-21, 1972.

M. Joshi and C. Penstein-rosé, Generalizing dependency features for opinion mining, Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pp.313-316, 2009.

S. M. Kywe, T. Hoang, E. Lim, and F. Zhu, On recommending hashtags in twitter networks, Proceedings of the 4th International Conference on Social Informatics, SocInfo'12, pp.337-350, 2012.

H. P. Luhn, A statistical approach to mechanized encoding and searching of literary information, IBM J. Res. Dev, vol.1, issue.4, pp.309-317, 1957.

A. Mazzia and J. Juett, Suggesting hashtags on twitter, EECS 545 Project, Winter Term, 2011.

O. Ozdikis, P. Senkul, and H. Oguztuzun, Semantic expansion of hashtags for enhanced event detection in twitter, Proceedings of the 1st International Workshop on Online Social Systems, 2012.

M. Porter, An algorithm for suffix stripping, Program, vol.14, issue.3, pp.130-137, 1980.

G. Salton and M. J. Mcgill, Introduction to Modern Information Retrieval, 1986.

B. Sriram, D. Fuhry, E. Demir, H. Ferhatosmanoglu, and M. Demirbas, Short text classification in twitter to improve information filtering, Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, pp.841-842, 2010.

B. Sriram, D. Fuhry, E. Demir, H. Ferhatosmanoglu, and M. Demirbas, Short text classification in twitter to improve information filtering, Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, pp.841-842, 2010.

G. Tisserant, M. Roche, and V. Prince, Gendesc : Vers une nouvelle reprsentation des donnes textuelles, 2013.

I. H. Witten and E. Frank, Data Mining: Practical machine learning tools and techniques, 2005.