A. Abu-jbara, P. Dasigi, M. Diab, and D. Et-radev, Subgroup Detection in Ideological Discussions, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, ACL '12, pp.399-409, 2012.

A. Ahmed and E. P. Xing, Staying Informed: Supervised and Semi-Supervised MultiView Topical Analysis of Ideological Perspective, Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, EMNLP '10, pp.1140-1150, 2010.

L. Akoglu, Quantifying Political Polarity Based on Bipartite Opinion Networks, Proceedings of the 8th International AAAI Conference on Weblogs and Social Media, ICWSM '14, pp.2-11, 2014.

A. Zamal, F. Liu, W. Et-ruths, and D. , Homophily and Latent Attribute Inference: Inferring Latent Attributes of Twitter Users from Neighbors, Proceedings of the 6th International AAAI Conference on Weblogs and Social Media, ICWSM '12, pp.387-390, 2012.

D. J. Aldous, Exchangeability and Related Topics, École d'Été de Probabilités de Saint-Flour XIII-1983, pp.1-198, 1985.

H. Allcott and M. Gentzkow, Social Media and Fake News in the 2016 Election, 2017.

E. Amigó, J. Gonzalo, J. Artiles, and F. Verdejo, A Comparison of Extrinsic Clustering Evaluation Metrics based on Formal Constraints, Information Retrieval, vol.12, issue.4, pp.461-486, 2009.

A. Asuncion, M. Welling, P. Smyth, and Y. W. Teh, On Smoothing and Inference for Topic Models, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI '09, pp.27-34, 2009.

I. Augenstein, T. Rocktäschel, A. Vlachos, and K. Bontcheva, Stance Detection with Bidirectional Conditional Encoding, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP '16, pp.876-885, 2016.

R. Awadallah, M. Ramanath, and G. Weikum, PolariCQ: Polarity Classification of Political Quotations, Proceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM '12, pp.1945-1949, 2012.

S. Baccianella, A. Esuli, and F. Sebastiani, SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining SentiWordNet, Proceedings of the International Conference on Language Resources and Evaluation, LREC '10, pp.2200-2204, 2010.

R. Baeza-yates and B. Et-ribeiro-neto, Modern Information Retrieval, 1999.

E. Bakshy, S. Messing, and L. Adamic, Exposure to Ideologically Diverse News and Opinion on Facebook, Science, vol.348, issue.6239, pp.1130-1132, 2015.

R. Balasubramanyan, W. W. Cohen, D. Pierce, and D. P. Et-redlawsk, Modeling Polarizing Topics: When Do Different Political Communities Respond Differently to the Same News?, Proceedings of the 6th International AAAI Conference on Weblogs and Social Media Modeling, ICWSM '12, pp.18-25, 2012.

D. Bamman and N. A. Smith, Open Extraction of Fine-Grained Political Statements, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP '15, pp.76-85, 2015.

P. Barberá, Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data, Political Analysis, vol.23, issue.1, pp.76-91, 2015.

N. Barbieri, F. Bonchi, and G. Manco, Who to Follow and Why: Link Prediction with Explanations, Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, pp.1266-1275, 2014.

C. M. Bishop, Pattern Recognition and Machine Learning, 2006.

D. M. Blei and J. D. Lafferty, Dynamic topic models, Proceedings of the 23rd International Conference on Machine Learning, ICML '06, pp.113-120, 2006.

D. M. Blei, A. Y. Ng, and M. I. Jordan, Latent Dirichlet Allocation, Proceedings of the 15th Annual Conference on Neural Information Processing Systems, NIPS '01, pp.601-608, 2001.

D. M. Blei, A. Y. Ng, and M. I. Jordan, Latent Dirichlet Allocation, Journal of Machine Learning Research, vol.3, pp.993-1022, 2003.

J. Boyd-graber, Y. Hu, and D. Mimno, Applications of Topic Models. Foundations and Trends in Information Retrieval, vol.11, pp.143-296, 2017.

I. Brigadir, D. Greene, and P. Cunningham, Analyzing Discourse Communities with Distributional Semantic Models, Proceedings of the 2015 ACM Conference on Web Science, WebSci '15, 2015.

S. Brody and N. Et-elhadad, An Unsupervised Aspect-Sentiment Model for Online Reviews, Proceedings of the 2010 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technology, NAACL-HLT '10, pp.804-812, 2010.

E. Cabrio and S. Villata, Combining Textual Entailment and Argumentation Theory for Supporting Online Debates Interactions, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012), ACL '12, pp.208-212, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00724767

C. Cardie and . Éditeur, Proceedings of the 2nd Workshop on Argumentation Mining. ArgMining@NAACL-HLT '15, 2015.

G. Carenini, R. T. Ng, and A. Et-pauls, Interactive Multimedia Summaries of Evaluative Text, Proceedings of the 11th International Conference on Intelligent User Interfaces, IUI '06, pp.124-131, 2006.

J. Chang, J. Boyd-graber, S. Gerrish, C. Wang, and D. M. Blei, Reading Tea Leaves: How Humans Interpret Topic Models, Proceedings of the 23rd Annual Conference on Neural Information Processing Systems, NIPS '09, pp.288-296, 2009.

C. Chen, W. Buntine, N. Ding, L. Xie, and L. Du, Differential Topic Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.37, pp.230-242, 2015.

Z. Chen and B. Liu, Mining Topics in Documents: Standing on the Shoulders of Big Data, Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, pp.1116-1125, 2014.

R. Cohen and D. Et-ruths, Classifying Political Orientation on Twitter: It's Not Easy!, Proceedings of the 7th International AAAI Conference on Weblogs and Social Media, ICWSM '13, pp.91-99, 2013.

M. D. Conover, B. Gonçalves, J. Ratkiewicz, A. Flammini, and F. Menczer, Predicting the Political Alignment of Twitter Users, Proceedings of the 2011 IEEE International Conference on Privacy, Security, Risk, and Trust, and IEEE International Conference on Social Computing, PASSAT/SocialCom '11, pp.192-199, 2011.

M. D. Conover, J. Ratkiewicz, M. R. Francisco, B. Gonçalves, F. Menczer et al., Political Polarization on Twitter, Proceedings of the 5th International AAAI Conference on Weblogs and Social Media, ICWSM '11, pp.89-96, 2011.

P. Croutte and S. Lautié, Le Baromètre du Numérique, 2016.

K. Dave, S. Lawrence, and D. M. Pennock, Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews, Proceedings of the 12th International Conference on World Wide Web, WWW '03, pp.519-528, 2003.

S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Et-harshman, Indexing by Latent Semantic Analysis, Journal of the American Society for Information Science, vol.41, issue.6, pp.391-407, 1990.

X. Ding, B. Liu, and P. S. Yu, A Holistic Lexicon-Based Approach to Opinion Mining, Proceedings of the International Conference on Web Search and Data Mining, WSDM '08, pp.231-239, 2008.

S. Dori-hacohen and J. Et-allan, Detecting Controversy on the Web, Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, CIKM '13, pp.1845-1848, 2013.

S. Dori-hacohen and J. Et-allan, Automated Controversy Detection on the Web, Proceedings of the 37th European Conference on IR Research, ECIR '15, pp.423-434, 2015.

M. Duggan and A. Smith, The Political Environment on Social Media. Rapport technique, 2016.

A. G. Dunn, J. Leask, X. Zhou, K. D. Mandl, and E. Coiera, Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study, Journal of Medical Internet Research, vol.17, issue.6, p.144, 2015.

M. D. Escobar and M. West, Bayesian Density Estimation and Inference Using Mixtures, Journal of the American Statistical Association, vol.90, issue.430, pp.577-588, 1995.

A. Fang, I. Ounis, P. Habel, C. Macdonald, and N. Limsopatham, Topic-centric Classification of Twitter User's Political Orientation, Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '15, pp.791-794, 2015.

L. Fang, Q. Qian, M. Huang, and X. Zhu, Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition, Proceedings of the 23rd ACM International Conference on Information and Knowledge Management, CIKM '14, pp.1931-1934, 2014.

Y. Fang, L. Si, N. Somasundaram, and Z. Yu, Mining Contrastive Opinions on Political Texts using Cross-Perspective Topic Model, Proceedings of the 5th ACM International Conference on Web Search and Data Mining, WSDM '12, pp.63-72, 2012.

S. R. Flaxman, S. Goel, and J. M. Rao, Filter Bubbles, Echo Chambers, and Online News Consumption, Public Opinion Quarterly, vol.80, issue.S1, pp.298-320, 2016.

S. Galam, Marine Le Pen Can Breach Her Glass Ceiling: The Drastic Effect of Differentiated Abstention, 2017.

M. Galley, K. Mckeown, J. Hirschberg, and E. Shriberg, Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies, Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, ACL '04, pp.669-676, 2004.

M. Gamon, Sentiment Classification on Customer Feedback Data: Noisy Data, Large Feature Vectors, and the Role of Linguistic Analysis, Proceedings of the 20th International Conference on Computational Linguistics, COLING '04, pp.841-847, 2004.

M. Gamon, A. Aue, S. Corston-oliver, and E. Et-ringger, Pulse: Mining Customer Opinions from Free Text, Proceedings of the 2005 International Symposium on Intelligent Data Analysis, IDA '05, pp.121-132, 2005.

K. Ganesan and C. Zhai, Micropinion Generation: An Unsupervised Approach to Generating Ultra-Concise Summaries of Opinions, Proceedings of the 21st International Conference on World Wide Web, WWW '12, pp.869-878, 2012.

K. Ganesan, C. Zhai, and J. Han, Opinosis: A Graph-Based Approach to Abstractive Summarization of Highly Redundant Opinions, Proceedings of the 23rd International Conference on Computational Linguistics, COLING '10, pp.340-348, 2010.

H. Gao, J. Mahmud, J. Chen, J. Nichols, and M. Zhou, Modeling User Attitude toward Controversial Topics in Online Social Media, Proceedings of the 8th International AAAI Conference on Weblogs and Social Media, ICWSM '14, pp.121-130, 2014.

K. Garimella, G. De-francisci-morales, A. Gionis, and M. Mathioudakis, , 2016.

, Quantifying Controversy in Social Media, Proceedings of the 9th ACM International Conference on Web Search and Data Mining, WSDM '16, pp.33-42

K. Garimella, G. De-francisci-morales, A. Gionis, and M. Mathioudakis, Reducing Controversy by Connecting Opposing Views, Proceedings of the 10th ACM International Conference on Web Search and Data Mining, WSDM '17, pp.81-90, 2017.

R. K. Garrett and N. J. Stroud, Partisan Paths to Exposure Diversity: Differences in Pro-and Counterattitudinal News Consumption, Journal of Communication, vol.64, issue.4, pp.680-701, 2014.

D. Gayo-avello, Don't Turn Social Media into another 'Literary Digest' Poll, Communications of the ACM, vol.54, issue.10, pp.121-128, 2011.

D. Gayo-avello, No, You Cannot Predict Elections with Twitter, IEEE Internet Computing, vol.16, issue.6, pp.91-94, 2012.

S. Gerrish and D. Blei, Predicting Legislative Roll Calls from Text, Proceedings of the 28th International Conference on Machine Learning, ICML '11, pp.489-496, 2011.

S. M. Gerrish and D. M. Blei, How they Vote: Issue-Adjusted Models of Legislative Behavior, Proceedings of the 26th Annual Conference on Neural Information Processing Systems, NIPS '12, pp.2762-2770, 2012.

A. Goldberg and X. Zhu, Seeing Stars When There Aren't Many Stars: Graph-based Semi-supervised Learning for Sentiment Categorization, Proceedings of the 1st Workshop on Graph-based Methods for Natural Language Processing, pp.45-52, 2006.

S. Gottipati, M. Qiu, Y. Sim, J. Jiang, and N. A. Smith, Learning Topics and Positions from Debatepedia, Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP '13, pp.1858-1868, 2013.

S. Gottipati, M. Qiu, L. Yang, F. Zhu, and J. Jiang, An Integrated Model For User Attribute Discovery: A Case Study on Political Affiliation Identification, Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD '14, pp.434-446, 2014.

E. Graells-garrido, M. Lalmas, and R. Baeza-yates, Finding Intermediary Topics Between People of Opposing Views: A Case Study, 2015.

N. Green, K. Ashley, D. Litman, C. Reed, and V. Walker, Proceedings of the 1st Workshop on Argumentation Mining. ArgMining@ACL '14, 2014.

T. L. Griffiths and M. Steyvers, Finding Scientific Topics, Proceedings of the National Academy of Sciences of the United States of America, vol.101, pp.5228-5235, 2004.

P. H. Guerra, W. Meira, C. Cardie, and R. Kleinberg, A Measure of Polarization on Social Media Networks Based on Community Boundaries, Proceedings of the 7th International AAAI Conference on Weblogs and Social Media, ICWSM '13, pp.215-224, 2013.

J. Guo, Y. Lu, T. Mori, and C. Blake, Expert-Guided Contrastive Opinion Summarization for Controversial Issues, Proceedings of the 24th International Conference Companion on World Wide Web, WWW '15 Companion, pp.1105-1110, 2015.

E. A. Hardisty, J. Boyd-graber, and P. Et-resnik, Modeling Perspective using Adaptor Grammars, Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, EMNLP '10, pp.284-292, 2010.

V. Hatzivassiloglou and K. R. Et-mckeown, Predicting the Semantic Orientation of Adjectives, Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the Association for Computational Linguistics, ACL/EACL '97, pp.174-181, 1997.

V. Hatzivassiloglou and J. M. Et-wiebe, Effects of Adjective Orientation and Gradability on Sentence Subjectivity, Proceedings of the 18th Conference on Computational Linguistics, COLING '00, pp.299-305, 2000.

Y. He, C. Lin, W. Gao, and K. Wong, Tracking Sentiment and Topic Dynamics from Social Media, Proceedings of the 6th International AAAI Conference on Weblogs and Social Media, ICWSM'12, pp.483-486, 2012.

Y. He, C. Lin, W. Gao, and K. Wong, Dynamic Joint Sentiment-Topic Model, ACM Transactions on Intelligent Systems and Technology, vol.5, issue.1, pp.1-21, 2013.

G. Heinrich, Parameter Estimation for Text Analysis. Rapport technique, Fraunhofer Institute for Computer Graphics, 2008.

T. Hofmann, Probabilistic Latent Semantic Indexing, Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '99, pp.50-57, 1999.

T. Hofmann, Unsupervised Learning by Probabilistic Latent Semantic Analysis, Machine Learning, vol.42, pp.177-196, 2001.

L. Hong, A. Ahmed, S. Gurumurthy, A. J. Smola, and K. Tsioutsiouliklis, , 2012.

, Discovering Geographical Topics in the Twitter Stream, Proceedings of the 21st international conference on World Wide Web, WWW '12, pp.769-778

M. Hu and B. Liu, Mining and Summarizing Customer Reviews, Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '04, pp.168-177, 2004.

M. Iyyer, P. Enns, J. Boyd-graber, and P. Et-resnik, Political Ideology Detection Using Recursive Neural Networks, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL '14, pp.1113-1122, 2014.

M. Jang and J. Et-allan, Improving Automated Controversy Detection on the Web, Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR '16, pp.865-868, 2016.

M. Jang, J. Foley, S. Dori-hacohen, and J. Et-allan, Probabilistic Approaches to Controversy Detection, Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM '16, pp.2069-2072, 2016.

Z. Jin, J. Cao, Y. Zhang, and J. Luo, News Verification by Exploiting Conflicting Social Viewpoints in Microblogs, Proceedings of the 30th AAAI Conference on Artificial Intelligence, AAAI '16, pp.2972-2978, 2016.

Y. Jo and A. H. Oh, Aspect and Sentiment Unification Model for Online Review Analysis, Proceedings of the 4th ACM International Conference on Web Search and Data Mining, WSDM '11, pp.815-824, 2011.

K. Johnson and D. Goldwasser, All I Know about Politics Is What I Read in Twitter": Weakly Supervised Models for Extracting Politicians' Stances From Twitter, Proceedings of the 26th International Conference on Computational Linguistics, COLING '16, pp.2966-2977, 2016.

M. I. Jordan, Z. Ghahramani, T. S. Jaakkola, and L. K. Saul, An Introduction to Variational Methods for Graphical Models, Machine Learning, vol.37, pp.183-233, 1999.

A. Joshi, P. Bhattacharyya, and M. Carman, Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors, Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@NAACL-HLT '16, pp.82-90, 2016.

J. Karoui, F. Benamara-zitoune, V. Moriceau, N. Aussenac-gilles, and L. H. Belguith, Towards a Contextual Pragmatic Model to Detect Irony in Tweets, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, ACL/IJCNLP '15, pp.644-650, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01686512

A. Kim, J. Murphy, A. Richards, H. Hansen, R. Powell et al., Can Tweets Replace Polls? A U.S. Health-Care Reform Case Study, Social Media, Sociality, and Survey Research, vol.3, pp.61-86, 2014.

H. D. Kim, K. Ganesan, P. Sondhi, and C. Zhai, Comprehensive Review of Opinion Summarization, 2011.

H. D. Kim and C. Et-zhai, Generating Comparative Summaries of Contradictory Opinions in Text, Proceedings of the 18th ACM International Conference on Information and Knowledge Management, CIKM '09, pp.385-393, 2009.

P. Kim, The Forrester Wave: Brand Monitoring. Rapport technique, 2006.

S. Kim, J. Zhang, Z. Chen, A. Oh, and S. Liu, A Hierarchical Aspect-Sentiment Model for Online Reviews, Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI '13, pp.526-533, 2013.

S. Kim and E. Et-hovy, Determining the Sentiment of Opinions, Proceedings of the 20th International Conference on Computational Linguistics, COLING '04, pp.1367-1373, 2004.

S. Kiritchenko and S. M. Mohammad, SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases, Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT '16, pp.42-51, 2016.

V. Lampos, D. Preotiuc-pietro, and T. Et-cohn, A User-Centric Model of Voting Intention from Social Media, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, ACL '13, pp.993-1003, 2013.

J. H. Lau, D. Newman, and T. Baldwin, Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality, Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL '14, pp.530-539, 2014.

J. Leskovec, K. J. Lang, and M. W. Mahoney, Empirical Comparison of Algorithms for Network Community Detection, Proceedings of the 19th International Conference on World Wide Web, WWW '10, pp.631-640, 2010.

R. Levy, Y. Bilu, D. Hershcovich, E. Aharoni, and N. Slonim, Context Dependent Claim Detection, Proceedings of the 25th International Conference on Computational Linguistics, COLING '14, pp.1489-1500, 2014.

Y. Lewenberg, Y. Bachrach, L. Bordeaux, and P. Kohli, Political Dimensionality Estimation Using a Probabilistic Graphical Model, Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence, UAI '16, pp.447-456, 2016.

C. Li, J. Xing, A. Sun, and Z. Ma, Effective Document Labeling with Very Few Seed Words: A Topic Model Approach, Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM '16, pp.85-94, 2016.

K. W. Lim and W. Et-buntine, Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon, Proceedings of the 23rd ACM International Conference on Information and Knowledge Management, CIKM '14, pp.1319-1328, 2014.

C. Lin and Y. Et-he, Joint Sentiment/Topic Model for Sentiment Analysis, Proceedings of the 18th ACM International Conference on Information and Knowledge Management, CIKM '09, pp.375-384, 2009.

C. Lin, Y. He, R. Everson, and S. Et-rüger, Weakly Supervised Joint Sentiment-Topic Detection from Text, IEEE Transactions on Knowledge and Data Engineering, vol.24, issue.6, pp.1134-1145, 2012.

W. Lin and A. Et-hauptmann, Are These Documents Written from Different Perspectives? A Test of Different Perspectives Based On Statistical Distribution Divergence, Proceedings of the 21st International Conference on Computational Linguistics and 44th, 2006.

, Annual Meeting of the Association for Computational Linguistics, COLING/ACL '06, pp.1057-1064

W. Lin, T. Wilson, J. Wiebe, and A. Et-hauptmann, Which Side are You on? Identifying Perspectives at the Document and Sentence Levels, Proceedings of the 10th Conference on Computational Natural Language Learning, CoNLL '06, pp.109-116, 2006.

W. Lin, E. Xing, and A. Et-hauptmann, A Joint Topic and Perspective Model for Ideological Discourse, Proceedings of 2008 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML/PKDD '08, pp.17-32, 2008.

M. Lippi and P. Torroni, Context-Independent Claim Detection for Argument Mining, Proceedings of the 24th International Joint Conference on Artificial Intelligence, IJCAI '15, pp.185-191, 2015.

B. Liu, Synthesis Lectures on Human Language Technologies, 2012.

B. Liu, M. Hu, and J. Cheng, Opinion Observer: Analyzing and Comparing Opinions on the Web, Proceedings of the 14th International Conference on World Wide Web, WWW '05, pp.342-351, 2005.

J. S. Liu, The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem, Journal of the American Statistical Association, vol.89, issue.427, pp.958-966, 1994.

Z. Liu, Q. Zheng, F. Wang, and B. Et-qian, Nonparametric Models for Characterizing the Topical Communities in Social Network, Neurocomputing, vol.216, pp.439-450, 2016.

Z. Liu, Q. Zheng, F. Wang, Z. Tian, and B. Li, A Dynamic Nonparametric Model for Characterizing the Topical Communities in Social Streams, Proceedings of the 2014 SIAM International Conference on Data Mining, pp.379-387, 2014.

Y. Lu and C. Zhai, Opinion Integration Through Semi-supervised Topic Modeling, Proceedings of the 17th International Conference on World Wide Web, WWW '08, pp.121-130, 2008.

W. Magdy, K. Darwish, N. Abokhodair, A. Rahimi, and T. Baldwin, #ISISisNotIslam or #DeportAllMuslims? Predicting Unspoken Views, Proceedings of the 8th ACM Conference on Web Science, WebSci '16, pp.95-106, 2016.

H. M. Mahmoud, Pólya Urn Models, 2008.

C. D. Manning, P. Raghavan, and H. Et-schütze, Introduction to Information Retrieval, 2008.

R. Mcdonald, K. Hannan, T. Neylon, M. Wells, and J. Et-reynar, Structured Models for Fine-to-Coarse Sentiment Analysis, Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, ACL '07, p.432, 2007.

Q. Mei, X. Ling, M. Wondra, H. Su, and C. Zhai, Topic Sentiment Mixture: Modeling Facets and Opinions in Weblogs, Proceedings of the 16th International Conference on World Wide Web, WWW '07, pp.171-180, 2007.

X. Meng, F. Wei, X. Liu, M. Zhou, S. Li et al., Entity-Centric TopicOriented Opinion Summarization in Twitter, Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, vol.12, pp.379-387, 2012.

S. Menini and S. Tonelli, Agreement and Disagreement: Comparison of Points of View in the Political Domain, Proceedings of the 26th International Conference on Computational Linguistics, COLING '16, pp.2461-2470, 2016.

R. Mihalcea, C. Banea, and J. Wiebe, Learning Multilingual Subjective Language via Cross-Lingual Projections, Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, ACL '07, pp.976-983, 2007.

D. Mimno, H. M. Wallach, E. Talley, M. Leenders, and A. Mccallum, Optimizing Semantic Coherence in Topic Models, Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pp.262-272, 2011.

G. Mishne, Multiple Ranking Strategies for Opinion Retrieval in Blogs, Proceedings of the 15th Text Retrieval Conference, TREC '06, 2006.

S. Moghaddam, Opinion Digger: An Unsupervised Opinion Miner from Unstructured Product Reviews, Proceedings of the 19th ACM International Conference on Information and Knowledge Management, CIKM '10, pp.1825-1828, 2010.

S. Moghaddam and M. Ester, ILDA: Interdependent LDA Model for Learning Latent Aspects and their Ratings from Online Product Reviews, Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '11, pp.665-674, 2011.

S. M. Mohammad, S. Kiritchenko, P. Sobhani, X. Zhu, and C. Cherry, SemEval2016 Task 6: Detecting Stance in Tweets, Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT '16, pp.31-41, 2016.

A. Mukherjee and B. Liu, Mining Contentions from Discussions and Debates, Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, vol.12, pp.841-849, 2012.

A. Mukherjee and B. Liu, Discovering User Interactions in Ideological Discussions, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, ACL '13, pp.671-681, 2013.

J. Murphy, M. W. Link, J. H. Childs, C. L. Tesfaye, E. Dean et al., Social Media in Public Opinion Research: Report of the AAPOR Task Force on Emerging Technologies in Public Opinion Research, 2014.

P. Nakov, A. Ritter, S. Rosenthal, V. Stoyanov, and F. Sebastiani, SemEval2016 Task 4: Sentiment Analysis in Twitter, Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT '16, pp.1-18, 2016.

P. Nakov, S. Rosenthal, Z. Kozareva, V. Stoyanov, A. Ritter et al., SemEval-2013 Task 2: Sentiment Analysis in Twitter, Proceedings of the 7th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT '13, pp.312-320, 2013.

T. N. Nasukawa and J. Yi, Sentiment Analysis: Capturing Favorability Using Natural Language Processing, Proceedings of the 2nd International Conference on Knowledge Capture, K-CAP '03, pp.70-77, 2003.

A. Nenkova and K. Mckeown, Automatic Summarization. Foundations and Trends in Information Retrieval, vol.5, pp.103-233, 2011.

D. Newman, A. Asuncion, P. Smyth, and M. Welling, Distributed Algorithms for Topic Models, Journal of Machine Learning Research, vol.10, pp.1801-1828, 2009.

D. Newman, J. H. Lau, K. Grieser, and T. Baldwin, Automatic Evaluation of Topic Coherence, Proceedings of the 2010 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technology, NAACL-HLT '10, pp.100-108, 2010.

M. E. Newman, Modularity and Community Structure in Networks, Proceedings of the National Academy of Sciences of the United States of America, vol.103, pp.8577-8582, 2006.

V. Nguyen, J. Boyd-graber, P. Resnik, and K. Miler, Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference of the Asian Federation of Natural Language Processing, ACL/IJCNLP '15, pp.1438-1448, 2015.

D. Oard, T. Elsayed, J. Wang, Y. Wu, P. Zhang et al., TREC-2006 at Maryland: Blog , Enterprise, Legal and QA Tracks, Proceedings of the 15th Text Retrieval Conference, TREC '06, 2006.

B. O'connor, R. Balasubramanyan, B. R. Routledge, and N. A. Smith, From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series, Proceedings of the 4th International AAAI Conference on Weblogs and Social Media, pp.122-129, 2010.

I. Ounis, M. De-rijke, C. Macdonald, G. Mishne, and I. Soboroff, Overview of the TREC-2006 Blog Track, Proceedings of the 15th Text Retrieval Conference, TREC '06, 2006.

B. Pang and L. Lee, A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts, Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, ACL '04, pp.271-278, 2004.

B. Pang and L. Lee, Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales, Proceedings of the 43rd Annual Meeting of the ACL, ACL '05, pp.115-124, 2005.

B. Pang and L. Lee, Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, vol.2, pp.1-135, 2008.

B. Pang, L. Lee, and S. Et-vaithyanathan, Thumbs up? Sentiment Classification using Machine Learning Techniques, Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing, EMNLP '02, pp.79-86, 2002.

E. Pariser, The Filter Bubble: What the Internet Is Hiding from You, 2011.

M. J. Paul and R. Girju, Cross-Cultural Analysis of Blogs and Forums with MixedCollection Topic Models, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, EMNLP '09, pp.1408-1417, 2009.

M. J. Paul and R. Girju, A Two-Dimensional Topic-Aspect Model for Discovering Multi-Faceted Topics, Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI '10, pp.545-550, 2010.

M. J. Paul, C. Zhai, and R. Girju, Summarizing Contrastive Viewpoints in Opinionated Text, Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, EMNLP '10, pp.66-76, 2010.

M. Pennacchiotti and A. Popescu, Democrats, Republicans and Starbucks Afficionados: User Classification in Twitter, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.430-438, 2011.

M. Pontiki, D. Galanis, H. Papageorgiou, I. Androutsopoulos, S. Manandhar et al., SemEval-2016 Task 5: Aspect Based Sentiment Analysis, Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT '16, pp.19-30, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01838537

M. Pontiki, D. Galanis, J. Pavlopoulos, H. Papageorgiou, I. Androutsopoulos et al., Semeval-2014 Task 4: Aspect Based Sentiment Analysis, Proceedings of the 8th International Workshop on Semantic Evaluation, SemEval '14, pp.27-35, 2014.

K. T. Poole and H. Rosenthal, A Spatial Model for Legislative Roll Call Analysis, American Journal of Political Science, vol.29, issue.2, pp.357-384, 1985.

A. Popescu and O. Et-etzioni, Extracting Product Features and Opinions from Reviews, Proceedings of the 2005 Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP '05, pp.339-346, 2005.

A. Popescu and M. Et-pennacchiotti, Detecting Controversial Events from Twitter, Proceedings of the 19th ACM International Conference on Information and Knowledge Management, CIKM '10, pp.1873-1876, 2010.

D. Preotiuc-pietro, Y. Liu, D. J. Hopkins, and L. Et-ungar, Beyond Binary Labels: Political Ideology Prediction of Twitter Users, Proceedings of the 55th Conference of the Association for Computational Linguistics, ACL '17, pp.729-740, 2017.

M. Qiu, Mining User Viewpoints in Online Discussions, 2015.

M. Qiu and J. Jiang, A Latent Variable Model for Viewpoint Discovery from Threaded Forum Posts, Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technology, NAACL-HLT '13, pp.1031-1040, 2013.

M. Qiu, Y. Sim, N. A. Smith, and J. Jiang, Modeling User Arguments, Interactions, and Attributes for Stance Prediction in Online Debate Forums, Proceedings of the 2015 SIAM International Conference on Data Mining, SDM '15, pp.855-863, 2015.

M. Qiu, L. Yang, and J. Jiang, Mining User Relations from Online Discussions using Sentiment Analysis and Probabilistic Matrix Factorization, Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technology, NAACL-HLT '13, pp.401-410, 2013.

M. Qiu, L. Yang, and J. Jiang, Modeling Interaction Features for Debate Side Clustering, Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, CIKM '13, pp.873-878, 2013.

M. M. Rahman and H. Wang, Hidden Topic Sentiment Model, Proceedings of the 25th International Conference on World Wide Web, WWW '16, pp.155-165, 2016.

A. Rao and N. Spasojevic, Actionable and Political Text Classification using Word Embeddings and LSTM, Proceedings of the 5th International Workshop on Issues of Sentiment Discovery and Opinion Mining, WISDOM@KDD '16, 2016.

C. Reed and . Éditeur, Proceedings of the 3rd Workshop on Argument Mining. ArgMining@ACL '16, 2016.

Z. Ren and M. Et-de-rijke, Summarizing Contrastive Themes via Hierarchical NonParametric Processes, Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '15, pp.93-102, 2015.

Z. Ren, O. Inel, L. Aroyo, and M. Et-de-rijke, Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams, Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM '16, pp.387-396, 2016.

E. Riloff and J. Wiebe, Learning Extraction Patterns for Subjective Expressions, Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, EMNLP '03, pp.105-112, 2003.

M. Röder, A. Both, and A. Hinneburg, Exploring the Space of Topic Coherence Measures, Proceedings of the 8th ACM International Conference on Web Search and Data Mining, WSDM '15, pp.399-408, 2015.

S. Rosenthal, P. Nakov, S. Kiritchenko, S. M. Mohammad, A. Ritter et al., SemEval-2015 Task 10: Sentiment Analysis in Twitter, Proceedings of the 9th International Workshop on Semantic Evaluation, vol.12, pp.451-463, 2015.

S. J. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 2010.

M. Sachan, D. Contractor, T. A. Faruquie, and L. V. Subramaniam, Using Content and Interactions for Discovering Communities in Social Networks, Proceedings of the 21st International Conference on World Wide Web, WWW '12, pp.331-340, 2012.

M. Sachan, A. Dubey, S. Srivastava, E. P. Xing, and E. Hovy, Spatial Compactness meets Topical Consistency: Jointly modeling Links and Content for Community Detection, Proceedings of the 7th ACM International Conference on Web Search and Data Mining, WSDM '14, pp.503-512, 2014.

A. Schofield and D. Mimno, Comparing Apples to Apple: The Effects of Stemmers on Topic Models, Transactions of the Association of Computational Linguistics, vol.4, issue.1, pp.287-300, 2016.

M. M. Shafiei and E. E. Et-muios, Latent Dirichlet Co-Clustering, Proceedings of the 2006 IEEE International Conference on Data Mining, ICDM '06, pp.542-551, 2006.

A. Smith, Cell Phones, Social Media and Campaign, 2014.

A. Smith and M. Anderson, Online Shopping and E-Commerce. Rapport technique, 2016.

B. Snyder and R. Barzilay, Multiple Aspect Ranking Using the Good Grief Algorithm, Proceedings of the 2007 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technology, NAACL-HLT '07, pp.300-307, 2007.

R. Socher, J. Pennington, E. H. Huang, A. Y. Ng, and C. D. Manning, SemiSupervised Recursive Autoencoders for Predicting Sentiment Distributions, Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pp.151-161, 2011.

S. Somasundaran and J. Wiebe, Recognizing Stances in Ideological On-Line Debates, Proceedings of the 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, WCAAGET@NAACL-HLT '10, pp.116-124, 2010.

C. Strapparava and R. Mihalcea, Semeval-2007 Task 14: Affective Text, Proceedings of the 4th International Workshop on Semantic Evaluations, SemEval@ACL '07, pp.70-74, 2007.

C. R. Sunstein, Republic.com 2.0, 2009.

J. Tang, L. Yao, and D. Chen, Multi-topic based Query-oriented Summarization, Proceedings of the 2009 SIAM International Conference on Data Mining, SDM '09, pp.1148-1159, 2009.

Y. W. Teh, D. Newman, and M. Welling, A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation, Proceedings of the 20th Annual Conference on Neural Information Processing Systems, NIPS '06, pp.1353-1360, 2006.

T. Thonet, G. Cabanac, M. Boughanem, and K. Pinel-sauvagnat, VODUM: A Topic Model Unifying Viewpoint, Topic and Opinion Discovery, Proceedings of the 38th European Conference on IR Research, ECIR '16, pp.533-545, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01567069

T. Thonet, G. Cabanac, M. Boughanem, and K. Pinel-sauvagnat, Users Are Known by the Company They Keep: Topic Models for Viewpoint Discovery in Social Networks, Proceedings of the 26th ACM International Conference on Information and Knowledge Management, CIKM '17, 2017.

A. Trabelsi and O. R. Et-zaïane, Mining Contentious Documents Using an Unsupervised Topic Model Based Approach, Proceedings of the 2014 IEEE International Conference on Data Mining, ICDM '14, pp.550-559, 2014.

A. Trabelsi and O. R. Et-zaïane, Extraction and Clustering of Arguing Expressions in Contentious Text, Data & Knowledge Engineering, vol.100, pp.226-239, 2015.

A. Trabelsi and O. R. Et-zaïane, Mining Contentious Documents, Knowledge and Information Systems, vol.48, issue.3, pp.537-560, 2016.

A. Tsakalidis, S. Papadopoulos, A. I. Cristea, and Y. Et-kompatsiaris, Predicting Elections for Multiple Countries Using Twitter and Polls, IEEE Intelligent Systems, vol.30, issue.2, pp.10-17, 2015.

A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Et-welpe, Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment, Proceedings of the 4th International AAAI Conference on Weblogs and Social Media, ICWSM '10, pp.178-185, 2010.

P. D. Turney, Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews, Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, ACL '02, pp.417-424, 2002.

C. R. Twardy, Argument Maps Improve Critical Thinking, Teaching Philosophy, vol.27, issue.2, pp.95-116, 2004.

J. M. Van-der-zwaan, M. Marx, and J. Et-kamps, Validating Cross-Perspective Topic Modeling for Extracting Political Parties' Positions from Parliamentary Proceedings, Proceedings of the 22nd European Conference on Artificial Intelligence, ECAI '16, pp.28-36, 2016.

H. M. Wallach, D. Mimno, and A. Mccallum, Rethinking LDA: Why Priors Matter, Proceedings of the 23rd Annual Conference on Neural Information Processing Systems, NIPS '09, pp.1973-1981, 2009.

L. Wang, H. Raghavan, C. Cardie, and V. Castelli, Query-Focused Opinion Summarization for User-Generated Content, Proceedings of the 25th International Conference on Computational Linguistics, COLING '14, pp.1660-1669, 2014.

S. Wang, Z. Chen, and B. Liu, Mining Aspect-Specific Opinion using a Holistic Lifelong Topic Model, Proceedings of the 25th International Conference on World Wide Web, WWW '16, pp.167-176, 2016.

X. Wang and A. Mccallum, Topics over Time: A Non-Markov Continuous-Time Model of Topical Trends, Proceedings of the 12nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '06, pp.424-433, 2006.

X. Wei and W. B. Croft, LDA-based Document Models for Ad-Hoc Retrieval, Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '06, pp.178-185, 2006.

J. Wiebe and T. Wilson, Learning to Disambiguate Potentially Subjective Expressions, Proceedings of the 6th Conference on Natural Language Learning, CoNLL '02, pp.1-7, 2002.

J. M. Wiebe, R. F. Bruce, and T. P. Hara, Development and Use of a GoldStandard Data Set for Subjectivity Classifications, Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, ACL '99, pp.246-253, 1999.

T. Wilson, J. Wiebe, and P. Hoffmann, Recognizing Contextual Polarity in PhraseLevel Sentiment Analysis, Proceedings of the 2005 Conference on Human Language Technology and Empirical Methods in Natural Language Processing, HLT/EMNLP '05, pp.347-354, 2005.

Y. Wu, SemEval-2010 Task 18: Disambiguating Sentiment Ambiguous Adjectives, Proceedings of the 5th International Workshop on Semantic Evaluation, SemEval@ACL '10, pp.1191-1199, 2010.

K. Yang, N. Yu, A. Valerio, and H. Zhang, WIDIT in TREC-2006 Blog Track, Proceedings of the 15th Text Retrieval Conference, TREC '06, 2006.

J. Yao, X. Wan, and J. Xiao, Recent Advances in Document Summarization, Knowledge and Information Systems, vol.53, issue.2, pp.297-336, 2017.

H. Yu and V. Hatzivassiloglou, Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences, Proceedings of the 2003 conference on Empirical Methods in Natural Language Processing, EMNLP '03, pp.129-136, 2003.

W. Zhang and C. Yu, UIC at TREC 2006 Blog Track, Proceedings of the 15th Text Retrieval Conference, TREC '06, 2006.

W. X. Zhao, J. Jiang, H. Yan, and X. Li, Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid, Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp.56-65, 2010.

X. Zhou, E. Coiera, G. Tsafnat, D. Arachi, M. Ong et al., Using Social Connection Information to Improve Opinion Mining: Identifying Negative Sentiment about HPV Vaccines on Twitter, Proceedings of the 15th World Congress on Health and Biomedical Informatics, MedInfo '15, pp.761-765, 2015.