E. Organization, &. Co-operation, and . Development, Engaging Citizens Online for Better Policy-making -Policy Brief, 2003.

A. Xenakis and E. Loukis, An investigation of the use of structured e-forum for enhancing e-participation in parliaments, International Journal of Electronic Governance, vol.3, issue.2, pp.134-147, 2010.
DOI : 10.1504/IJEG.2010.034092

D. Osimo, Web 2.0 in Government: Why and How? JRC Scientific and Technical Reports, Joint Research Centre, 2008.

A. Chadwick, Web 2.0: New Challenges for the Study ofE-Democracy in an Era of InformationalExuberance, I/S: A Journal of Law and Policy for the Information Society, pp.9-41, 2009.

I. A. Mergel, C. M. Schweik, and J. E. Fountain, The Transformational Effect of Web 2.0 Technologies on Government Available at SSRN: http://ssrn, 2009.

Y. Charalabidis, G. Gionis, E. Ferro, and E. Loukis, Towards a Systematic Exploitation of Web 2.0 and Simulation Modeling Tools in Public Policy Process, IFIP Second International Conference on e-Participation -ePart 2010, 2010.
DOI : 10.1002/sdr.347

URL : https://hal.archives-ouvertes.fr/hal-01054837

J. Rose and C. Sanford, MappingeParticipation Research: Four Central Challenges,Communications of the Association for Information Systems, pp.909-943, 2007.

A. Macintosh, S. Coleman, and A. Schneeberger, eParticipation: The Research Gaps, LNCS, vol.20, issue.55, pp.1-11, 2009.
DOI : 10.1177/1461444805050764

B. Pang and L. Lee, Opinion Mining and Sentiment Analysis, Foundations and Trends?? in Information Retrieval, vol.2, issue.1???2, pp.1-135, 2008.
DOI : 10.1561/1500000011

B. Liu, Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, 2006.
DOI : 10.1007/978-3-642-19460-3

J. Wiebe, T. Wilson, and C. Cardie, Annotating Expressions of Opinions and Emotions in Language, Language Resources and Evaluation, vol.7, issue.3, 2005.
DOI : 10.1075/z.59

N. Godbole, M. Srinivasaiah, and S. Skiena, Large-scale sentiment analysis for news and blogs, Proceedings of the International Conference on Weblogs and Social Media (ICWSM), 2007.

B. Liu, M. Hu, and J. Cheng, Opinion observer, Proceedings of the 14th international conference on World Wide Web , WWW '05, 2005.
DOI : 10.1145/1060745.1060797

T. Wilson, J. Wiebe, and R. Hwa, Just how mad are you? Finding strong and weak opinion clauses, Proceedings of AAAI, pp.761-769, 2004.

W. Parrott, Emotions in Social Psychology, 2001.

A. Aue and M. Gamon, Customizing sentiment classifiers to new domains: A case study, Proceedings of Recent Advances in Natural Language Processing (RANLP), 2005.

Y. Choi, E. Breck, and C. Cardie, Joint extraction of entities and relations for opinion recognition, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, EMNLP '06, 2006.
DOI : 10.3115/1610075.1610136

S. R. Das and M. Y. Chen, Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web, Management Science, vol.53, issue.9, pp.1375-1388, 2007.
DOI : 10.1287/mnsc.1070.0704

K. Dave, S. Lawrence, and D. M. Pennock, Mining the peanut gallery, Proceedings of the twelfth international conference on World Wide Web , WWW '03, pp.519-528, 2003.
DOI : 10.1145/775152.775226

A. Devitt and K. Ahmad, Sentiment analysis in financial news: A cohesion based approach, Proceedings of the Association for Computational Linguistics (ACL), pp.984-991, 2007.

M. Gamon, Sentiment classification on customer feedback data, Proceedings of the 20th international conference on Computational Linguistics , COLING '04, 2004.
DOI : 10.3115/1220355.1220476

M. Gamon, A. Aue, S. Corston-oliver, and . Ringgere, Pulse: Mining Customer Opinions from Free Text, Proceedings of the International Symposium on Intelligent Data Analysis (IDA), pp.121-132, 2005.
DOI : 10.1007/11552253_12

B. Pang, L. Lee, and S. Vaithyanathan, Thumbs up? Sentiment classification using machine learning techniques, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.79-86, 2002.

P. Turney, Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews, Proceedings of the Association for Computational Linguistics (ACL), pp.417-424, 2002.

J. Blitzer, M. Dredze, and F. Pereira, Biographies, Bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification, Proceedings of the Association for Computational Linguistics (ACL), 2007.

H. Yang, L. Si, and J. Callan, Knowledge transfer and opinion detection in the TREC2006 blog track, 2006.

V. Hatzivassiloglou and J. Wiebe, Effects of adjective orientation and gradability on sentence subjectivity, Proceedings of the 18th conference on Computational linguistics -, 2000.
DOI : 10.3115/990820.990864

E. Riloff and J. Wiebe, Learning extraction patterns for subjective expressions, Proceedings of the 2003 conference on Empirical methods in natural language processing -, 2003.
DOI : 10.3115/1119355.1119369

T. Nasukawa and J. Yi, Sentiment analysis, Proceedings of the international conference on Knowledge capture , K-CAP '03, 2003.
DOI : 10.1145/945645.945658

A. Esuli and F. Sebastiani, SentiWordNet: A publicly available lexical resource for opinion mining, Proceedings of Language Resources and Evaluation (LREC), 2006.

E. Riloff, J. Wiebe, and T. Wilson, Learning subjective nouns using extraction pattern bootstrapping, Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 -, p.25, 2003.
DOI : 10.3115/1119176.1119180

H. Yu and V. Hatzivassiloglou, Towards answering opinion questions, Proceedings of the 2003 conference on Empirical methods in natural language processing -, 2003.
DOI : 10.3115/1119355.1119372

A. Kennedy and D. Inkpen, SENTIMENT CLASSIFICATION of MOVIE REVIEWS USING CONTEXTUAL VALENCE SHIFTERS, Computational Intelligence, vol.20, issue.2, pp.110-125, 2006.
DOI : 10.1162/0891201041850885

S. M. Kim and E. Hovy, Determining the sentiment of opinions, Proceedings of the 20th international conference on Computational Linguistics , COLING '04, 2004.
DOI : 10.3115/1220355.1220555

S. M. Kim and E. Hovy, Automatic identification of pro and con reasons in online reviews, Proceedings of the COLING/ACL on Main conference poster sessions -, pp.483-490, 2006.
DOI : 10.3115/1273073.1273136

S. M. Kim and E. Hovy, Crystal: Analyzing predictive opinions on the web, Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP/CoNLL), 2007.

S. M. Kim, P. Pantel, T. Chklovski, and M. Pennacchiotti, Automatically assessing review helpfulness, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, EMNLP '06, pp.423-430, 2006.
DOI : 10.3115/1610075.1610135

T. Wilson, J. Wiebe, and P. 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.
DOI : 10.3115/1220575.1220619

L. Polanyi and A. Zaenen, Contextual lexical valence shifters, Proceedings of the AAAI Spring Symposium on Exploring Attitude and Affect in Text, 2004.

S. Morinaga, K. Yamanishi, K. Tateishi, and T. Fukushima, Mining product reputations on the Web, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '02, pp.341-349, 2002.
DOI : 10.1145/775047.775098

R. M. Tong, An operational system for detecting and tracking opinions in on-line discussion, Proceedings of the Workshop on Operational Text Classification (OTC), 2001.

J. Yi, T. Nasukawa, R. Bunescu, and W. Niblack, Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques, Third IEEE International Conference on Data Mining, 2003.
DOI : 10.1109/ICDM.2003.1250949

C. Fellbaum, Wordnet: An Electronic Lexical Database, 1998.

A. Andreevskaia and S. Bergler, Mining WordNet for a fuzzy sentiment: Sentiment tag extraction from WordNet glosses, Proceedings of the European Chapter of the Association for Computational Linguistics (EACL), 2006.

A. Esuli and F. Sebastiani, Determining the semantic orientation of terms through gloss analysis, Proceedings of the ACM Conference on Information and Knowledge Management (CIKM), 2005.

A. Esuli and F. Sebastiani, Determining term subjectivity and term orientation for opinion mining, Proceedings of the European Chapter of the Association for Computational Linguistics (EACL), 2006.

A. Esuli and F. Sebastiani, PageRankingWordNetsynsets: An application to opinion mining, Proceedings of the Association for Computational Linguistics (ACL), 2007.

J. Kamps, M. Marx, R. J. Mokken, and M. De-rijke, Using WordNet to measure semantic orientation of adjectives, Proc. of LREC " 04, pp.1115-1118, 2004.

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 web data mining , WSDM '08, 2008.
DOI : 10.1145/1341531.1341561

G. Qiu, B. Liu, J. Bu, and C. Chen, Expanding Domain Sentiment Lexicon through Double Propagation, International Joint Conference on Artificial Intelligence (IJCAI-09), 2009.

V. Hatzivassiloglou and K. Mckeown, Predicting the semantic orientation of adjectives, Proceedings of the Joint ACL/EACL Conference, pp.174-181, 1997.

H. Kanayama and T. Nasukawa, Fully automatic lexicon expansion for domainoriented sentiment analysis, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.355-363, 2006.

A. M. Popescu and O. Etzioni, Extracting product features and opinions from reviews, Proceedings of the Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing, 2005.

Y. Liu, J. Huang, A. An, and X. Yu, ARSA, Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '07, 2007.
DOI : 10.1145/1277741.1277845

R. Mcdonald, K. Hannan, T. Neylon, M. Wells, and J. Reynar, Structured models for fine-to-coarse sentiment analysis, Proceedings of the Association for Computational Linguistics (ACL), pp.432-439, 2007.

Q. Su, X. Xu, H. Guo, X. Wu, X. Zhang et al., Hidden sentiment association in chinese web opinion mining, Proceeding of the 17th international conference on World Wide Web , WWW '08, pp.959-968, 2008.
DOI : 10.1145/1367497.1367627

Q. Mei, X. Ling, M. Wondra, H. Su, and C. X. Zhai, Topic sentiment mixture, Proceedings of the 16th international conference on World Wide Web , WWW '07, pp.171-180, 2007.
DOI : 10.1145/1242572.1242596

G. Carenini, R. T. Ng, and E. Zwart, Extracting knowledge from evaluative text, Proceedings of the 3rd international conference on Knowledge capture , K-CAP '05, pp.11-18, 2005.
DOI : 10.1145/1088622.1088626

G. Qiu, B. Liu, J. Bu, and C. Chen, Expanding Domain Sentiment Lexicon through Double Propagation, International Joint Conference on Artificial Intelligence (IJCAI-09), 2009.

W. Wei and J. A. Gulla, Sentiment Learning on Product Reviews via Sentiment Ontology Tree, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp.404-413, 2010.

E. Riloff, S. Patwardhan, and J. Wiebe, Feature subsumption for opinion analysis, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, EMNLP '06, 2006.
DOI : 10.3115/1610075.1610137

E. Riloff and J. Wiebe, Learning extraction patterns for subjective expressions, Proceedings of the 2003 conference on Empirical methods in natural language processing -, 2003.
DOI : 10.3115/1119355.1119369