H. Abdulsalam, D. B. Skillicorn, and P. Martin, Streaming Random Forests, 11th International Database Engineering and Applications Symposium (IDEAS 2007), pp.225-232, 2007.
DOI : 10.1109/IDEAS.2007.4318108

A. Bifet, G. Holmes, B. Pfahringer, R. Kirkby, and R. Gavaldà, New ensemble methods for evolving data streams, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.139-148, 2009.
DOI : 10.1145/1557019.1557041

A. Bouaziz, C. Dartigues-pallez, C. Da-costa-pereira, F. Precioso, and P. Lloret, Short Text Classification Using Semantic Random Forest, Data Warehousing and Knowledge Discovery, pp.288-299, 2014.
DOI : 10.1007/978-3-319-10160-6_26

URL : https://hal.archives-ouvertes.fr/hal-01325212

L. Breiman, Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001.
DOI : 10.1023/A:1010933404324

M. Chen, X. Jin, and D. Shen, Short text classification improved by learning multi-granularity topics, IJCAI, pp.1776-1781, 2011.

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, vol.1, issue.3, pp.273-297, 1995.
DOI : 10.1007/BF00994018

P. Domingos and G. Hulten, Mining high-speed data streams, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '00, pp.71-80, 2000.
DOI : 10.1145/347090.347107

N. C. Oza, Online Bagging and Boosting, 2005 IEEE International Conference on Systems, Man and Cybernetics, pp.2340-2345, 2005.
DOI : 10.1109/ICSMC.2005.1571498

B. Pfahringer, G. Holmes, and R. Kirkby, New Options for Hoeffding Trees, AI 2007: Advances in Artificial Intelligence, pp.90-99, 2007.
DOI : 10.1007/978-3-540-76928-6_11

X. Phan, L. Nguyen, and S. Horiguchi, Learning to classify short and sparse text & web with hidden topics from large-scale data collections, Proceeding of the 17th international conference on World Wide Web , WWW '08, pp.91-100, 2008.
DOI : 10.1145/1367497.1367510

A. Saffari, C. Leistner, J. Santner, M. Godec, and H. Bischof, On-line Random Forests, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, pp.1393-1400, 2009.
DOI : 10.1109/ICCVW.2009.5457447

S. Sarawagi and A. Bhamidipaty, Interactive deduplication using active learning, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '02, pp.269-278, 2002.
DOI : 10.1145/775047.775087

C. Silva and B. Ribeiro, On Text-based Mining with Active Learning and Background Knowledge Using SVM, Soft Computing, vol.2, issue.4, pp.519-530, 2007.
DOI : 10.1007/s00500-006-0080-8

C. Silva and B. Ribeiro, Improving Text Classification Performance with Incremental Background Knowledge, Artificial Neural Networks?ICANN 2009, pp.923-931, 2009.
DOI : 10.1007/978-3-642-04274-4_95

A. Silvescu, C. Caragea, and V. Honavar, Combining Super-Structuring and Abstraction on Sequence Classification, 2009 Ninth IEEE International Conference on Data Mining, pp.986-991, 2009.
DOI : 10.1109/ICDM.2009.130

G. Song, Y. Ye, X. Du, X. Huang, and S. Bie, Short Text Classification: A Survey, Journal of Multimedia, vol.9, issue.5, pp.635-643, 2014.
DOI : 10.4304/jmm.9.5.635-643

B. Sriram, D. Fuhry, E. Demir, H. Ferhatosmanoglu, and M. Demirbas, Short text classification in twitter to improve information filtering, Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval, SIGIR '10, pp.841-842, 2010.
DOI : 10.1145/1835449.1835643

A. Sun, Short text classification using very few words, Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval, SIGIR '12, pp.1145-1146, 2012.
DOI : 10.1145/2348283.2348511

D. Vo and C. Ock, Learning to classify short text from scientific documents using topic models with various types of knowledge, Expert Systems with Applications, vol.42, issue.3, pp.1684-1698, 2015.
DOI : 10.1016/j.eswa.2014.09.031

L. Yang, C. Li, Q. Ding, and L. Li, Combining Lexical and Semantic Features for Short Text Classification, Procedia Computer Science, vol.22, pp.78-86, 2013.
DOI : 10.1016/j.procs.2013.09.083