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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.

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S. Moghaddam and M. Ester, ILDA, Proceedings of the 34th international ACM SIGIR conference on Research and development in Information, SIGIR '11, pp.665-674, 2011.
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S. M. Mohammad, S. Kiritchenko, P. Sobhani, X. Zhu, and C. Et-cherry, SemEval-2016 Task 6: Detecting Stance in Tweets, Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp.31-41, 2016.
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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, KDD '12, pp.841-849, 2012.
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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.

P. Nakov, A. Ritter, S. Rosenthal, V. Stoyanov, and F. Et-sebastiani, SemEval-2016 Task 4: Sentiment Analysis in Twitter, Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp.1-18, 2016.
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D. Newman, J. H. Lau, K. Grieser, and T. Et-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, pp.8577-8582, 2006.
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V. Nguyen, J. Boyd-graber, P. Resnik, and K. Et-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 on Natural Language Processing (Volume 1: Long Papers), pp.1438-1448, 2015.
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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, 2006.
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I. Ounis, M. De-rijke, C. Macdonald, G. Mishne, and I. Et-soboroff, Overview of the TREC-2006 Blog Track, Proceedings of the 15th Text Retrieval Conference, p.6, 2006.

B. Pang and L. Et-lee, A sentimental education, Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics , ACL '04, pp.271-278, 2004.
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B. Pang and L. Et-lee, Seeing stars, Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics , ACL '05, pp.115-124, 2005.
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B. Pang and L. Et-lee, Opinion Mining and Sentiment Analysis, Foundations and Trends?? in Information Retrieval, vol.2, issue.1???2, pp.1-135, 2008.
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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.
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M. J. Paul and R. Et-girju, Cross-cultural analysis of blogs and forums with mixed-collection topic models, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 3, EMNLP '09, pp.1408-1417, 2009.
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M. J. Paul and R. Et-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. Et-girju, Summarizing Contrastive Viewpoints in Opinionated Text, Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp.66-76, 2010.

M. Pennacchiotti and A. Popescu, Democrats, republicans and starbucks afficionados, Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '11, pp.430-438, 2011.
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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 2014), pp.27-35, 2014.
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K. T. Poole and H. Et-rosenthal, A Spatial Model for Legislative Roll Call Analysis, American Journal of Political Science, vol.29, issue.2, pp.357-384, 1985.
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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.
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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 Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp.729-740, 2017.
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M. Qiu, Mining User Viewpoints in Online Discussions, Thèse de doctorat, 2015.

M. Qiu and J. Et-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. Et-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.
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M. Qiu, L. Yang, and J. Et-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. Et-jiang, Modeling interaction features for debate side clustering, Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, CIKM '13, pp.873-878, 2013.
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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.
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A. Rao and N. Et-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, p.16, 2016.

Z. Ren and M. Et-de-rijke, Summarizing Contrastive Themes via Hierarchical Non-Parametric Processes, Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '15, pp.93-102, 2015.
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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 on Conference on Information and Knowledge Management, CIKM '16, pp.387-396, 2016.
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E. Riloff and J. Et-wiebe, Learning extraction patterns for subjective expressions, Proceedings of the 2003 conference on Empirical methods in natural language processing -, pp.105-112, 2003.
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M. Röder, A. Both, and A. Et-hinneburg, Exploring the Space of Topic Coherence Measures, Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM '15, pp.399-408, 2015.
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M. Sachan, D. Contractor, T. A. Faruquie, and L. V. Et-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.
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M. Sachan, A. Dubey, S. Srivastava, E. P. Xing, and E. Et-hovy, Spatial compactness meets topical consistency, Proceedings of the 7th ACM international conference on Web search and data mining, WSDM '14, pp.503-512, 2014.
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A. Schofield and D. Et-mimno, Comparing Apples to Apple: The Effects of Stemmers on Topic Models, Transactions of the Association of Computational Linguistics, pp.287-300, 2016.

M. M. Shafiei and E. E. Et-muios, Latent Dirichlet Co-Clustering, Sixth International Conference on Data Mining (ICDM'06), pp.542-551, 2006.
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A. Smith, Cell Phones, Social Media and Campaign 2014, 2014.

A. Smith and M. Et-anderson, Online Shopping and E-Commerce, 2016.

B. Snyder and R. Et-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. Et-manning, Semi- Supervised 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. Et-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. Et-mihalcea, SemEval-2007 task 14, Proceedings of the 4th International Workshop on Semantic Evaluations, SemEval '07, pp.70-74, 2007.
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C. R. Sunstein, Republic.com 2.0, 2009.

J. Tang, L. Yao, and D. Et-chen, Multi-topic based Query-oriented Summarization, Proceedings of the 2009 SIAM International Conference on Data Mining, SDM '09, pp.1148-1159, 2009.
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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.
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T. Thonet, G. Cabanac, M. Boughanem, and K. Et-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.
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T. Thonet, G. Cabanac, M. Boughanem, and K. Et-pinel-sauvagnat, Users Are Known by the Company They Keep, Proceedings of the 2017 ACM on Conference on Information and Knowledge Management , CIKM '17, 2017.
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A. Trabelsi and O. R. Et-zaïane, Mining Contentious Documents Using an Unsupervised Topic Model Based Approach, 2014 IEEE International Conference on Data Mining, pp.550-559, 2014.
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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.
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A. Trabelsi and O. R. Et-zaïane, Mining contentious documents, Knowledge and Information Systems, vol.101, issue.476, pp.537-560, 2016.
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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.
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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.
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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. Et-castelli, Query-Focused Opinion Summarization for User-Generated Content, Proceedings of the 25th International Conference on Computational Linguistics, pp.1660-1669, 2014.

S. Wang, Z. Chen, and B. Et-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.
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X. Wang and A. Mccallum, Topics over time, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '06, pp.424-433, 2006.
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X. Wei and W. B. Et-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.
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J. Wiebe and T. Et-wilson, Learning to disambiguate potentially subjective expressions, proceeding of the 6th conference on Natural language learning , COLING-02, pp.1-7, 2002.
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J. M. Wiebe, R. F. Bruce, and T. P. Et-o-'hara, Development and use of a gold-standard data set for subjectivity classifications, Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -, pp.246-253, 1999.
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T. Wilson, J. Wiebe, and P. Et-hoffmann, Recognizing contextual polarity in phrase-level sentiment analysis, Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing , HLT '05, pp.347-354, 2005.
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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.
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K. Yang, N. Yu, A. Valerio, and H. Zhang, WIDIT in TREC-2006 Blog Track, Proceedings of the 15th Text Retrieval Conference, p.6, 2006.

J. Yao, X. Wan, and J. Et-xiao, Recent advances in document summarization, Knowledge and Information Systems, vol.10, issue.1, pp.297-336, 2017.
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H. Yu and V. Et-hatzivassiloglou, Towards answering opinion questions, Proceedings of the 2003 conference on Empirical methods in natural language processing -, pp.129-136, 2003.
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W. Zhang and C. Et-yu, UIC at TREC 2006 Blog Track, Proceedings of the 15th Text Retrieval Conference, p.6, 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, pp.15-761, 2015.