K. K. Kerren-a, Text visualization techniques : Taxonomy, visual survey, and community insights, Proceedings of the IEEE Pacific Visualization Symposium (PacificVis), pp.117-121, 2015.

K. A. Irsoy-o, . Ondruska-p, . Iyyer-m, . Bradbury-j, . Gulrajani-i et al., Ask me anything : Dynamic memory networks for natural language processing, Proceedings of The 33rd International Conference on Machine Learning, pp.1378-1387, 2016.

L. Z. , The mythos of model interpretability. CoRR, abs/1606, p.3490, 2016.

L. W. , W. Z. Liu-x, . Zeng-n, . Liu-y, and . E. Alsaadi-f, A survey of deep neural network architectures and their applications, Neurocomputing, vol.234, pp.11-26, 2017.

M. T. Karafiát-m, C. J. Burget-l, and . Khudanpur-s, Recurrent neural network based language model, pp.1045-1048, 2010.

M. T. Sutskever-i, C. K. , and C. G. Dean, Distributed representations of words and phrases and their compositionality, Advances in Neural Information Processing Systems 26, pp.3111-3119, 2013.

M. S. and L. B. Yoon-s, Deep learning in bioinformatics, 2016.

M. T. , Visualization Analysis and Design. A.K. Peters visualization series, 2014.

N. P. Ritter-a, S. F. Rosenthal-s, and . Stoyanov-v, Semeval-2016 task 4 : Sentiment analysis in twitter, Proceedings of the 10th International Workshop on Semantic Evaluation, pp.1-18, 2016.

O. F. , A literature survey of active machine learning in the context of natural language processing, 2009.

P. C. Clavier-v, Le forum de discussion : une ressource informationnelle hybride entre information grand public et information spécialisée. Yasri-Labrique Eleonore. Les forums de discussion : agoras du XXIe siècle ? Théories, enjeux et pratiques discursives, L'harmattan (collection Langue et Parole), pp.39-55, 2011.

P. C. Clavier-v, S'informer via des médias sociaux de santé : quelle place pour les experts ?, pp.141-143, 2014.

P. M. Gurumurthy-s, Investigating topic models for social media user recommendation, Proceedings of the 20th International Conference Companion on World Wide Web, pp.101-102, 2011.

R. J. , Using tf-idf to determine word relevance in document queries, 1999.

R. E. Chauvin-p, Internet uses for health information seeking : A literature review, pp.263-275, 2006.

R. S. Nakov-p, M. S. Kiritchenko-s, and R. A. Stoyanov-v, Semeval-2015 task 10 : Sentiment analysis in twitter, Proceedings of the 9th International Workshop on Semantic Evaluation, pp.451-463, 2015.

S. J. , Deep learning in neural networks : An overview, Neural Networks, vol.61, pp.85-117, 2015.

S. Tishby-n, Opening the black box of deep neural networks via information, 2017.

S. R. Perelygin-a, C. Y. Wu-j, . D. Manning-c, . Y. Ng-a, and . Potts-c, Recursive deep models for semantic compositionality over a sentiment treebank, EMNLP, p.1642, 2013.

S. R. and G. K. Schmidhuber-j, Training very deep networks, Proceedings of the 28th International Conference on Neural Information Processing Systems, pp.2377-2385, 2015.

S. S. Szlam-a and W. J. Fergus, End-to-end memory networks, Advances in Neural Information Processing Systems 28, pp.2440-2448, 2015.

S. G. Wu-y, . Liu-s, Z. J. Peng-t.-q, and . Liang-r, EvoRiver : Visual Analysis of Topic Coopetition on Social Media, IEEE Transactions on Visualization and Computer Graphics, issue.12, pp.20-1753, 2014.

V. O. , K. L. , K. T. , P. S. , and S. I. Hinton-g, Grammar as a foreign language, 2015.

G. and E. , Advances in Neural Information Processing Systems 28, pp.2773-2781

W. S. , J. M. Paul, and . Dredze-m, Exploring health topics in chinese social media : an analysis of sina weibo, AAAI Workshop on the World Wide Web and Public Health Intelligence, pp.20-23, 2014.

W. Y. and A. E. Benzi-m, Tm-lda : Efficient online modeling of latent topic transitions in social media, Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.123-131, 2012.

W. Y. Liu-s, Y. K. Liu-m, and . Wu-f, OpinionFlow : Visual Analysis of Opinion Diffusion on Social Media, IEEE Transactions on Visualization and Computer Graphics, vol.20, issue.12, pp.1763-1772, 2014.

Z. Q. Tse-t, Viewpoint paper : Exploring and developing consumer health vocabularies, JAMIA, vol.13, issue.1, pp.24-29, 2006.

Z. Y. Liu-r, L. Q. , and L. S. Zeng-d, Identifying topics for e-cigarette usergenerated contents : a case study from multiple social media platforms, J Med Internet Res, vol.19, issue.1, p.24, 2017.

Z. M. Zhang-y, C. W. Zhang-m, and . Zhu-j, Fast and accurate shift-reduce constituent parsing, 2013.