M. Annett and G. Kondrak, A Comparison of Sentiment Analysis Techniques: Polarizing Movie Blogs, In: Advances in Artificial Intelligence LNCS, vol.5032, pp.25-35, 2008.
DOI : 10.1007/978-3-540-68825-9_3

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

T. Baldwin and M. Lui, Language Identification: The Long and the Short of the Matter, Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp.229-237, 2010.

M. Banerjee, M. Capozzoli, L. Mcsweeney, and D. Sinha, Beyond kappa: A review of interrater agreement measures, Canadian Journal of Statistics, vol.103, issue.1, pp.3-23, 1999.
DOI : 10.2307/3315487

P. Beineke, T. Hastie, C. Manning, and S. Vaithyanathan, Exploring Sentiment Summarization, Proceedings of the AAAI Spring Symposium on Exploring Attitude and Affect in Text: Theories and Applications, pp.1-4, 2004.

P. Carvalho, L. Sarmento, M. Silva, and E. De-oliveira, Clues for detecting irony in user-generated contents, Proceeding of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion, TSA '09, pp.53-56, 2009.
DOI : 10.1145/1651461.1651471

URL : https://hal.archives-ouvertes.fr/hal-01107892

L. Chen and L. Qi, Social opinion mining for supporting buyers??? complex decision making: exploratory user study and algorithm comparison, Social Network Analysis and Mining, vol.6, issue.December, pp.301-320, 2011.
DOI : 10.1007/s13278-011-0023-y

J. Chevalier and D. Mayzlin, The Effect of Word of Mouth on Sales: Online Book Reviews, Journal of Marketing Research, vol.43, issue.3, pp.345-354, 2006.
DOI : 10.1509/jmkr.43.3.345

M. J. Collins, Head-Driven Statistical Models for Natural Language Parsing, Computational Linguistics, vol.18, issue.1, 1999.
DOI : 10.1109/18.87000

J. Dawes, Do Data Characteristics Change According to the Number of Scale Points Used? An Experiment Using 5 Point, 7 Point and 10 Point Scales, International Journal of Market Research, vol.51, issue.1, 2008.

M. C. De-marneffe, B. Maccartney, and C. D. Manning, Generating typed dependency parses from phrase structure parses, Proceedings of the Seventh Conference on International Language Resources and Evaluation, pp.449-454, 2006.

X. Ding and B. Liu, Resolving object and attribute coreference in opinion mining, Proceedings of the 23rd International Conference on Computational Linguistics, pp.268-276, 2010.

C. Fellbaum, WordNet: An electronic lexical database, 1998.

J. Fleiss, Measuring nominal scale agreement among many raters., Psychological Bulletin, vol.76, issue.5, pp.378-382, 1971.
DOI : 10.1037/h0031619

K. Ganesan and C. Zhai, Opinion-based entity ranking, Information Retrieval, vol.22, issue.2, pp.116-150, 2012.
DOI : 10.1007/s10791-011-9174-8

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), pp.219-222, 2007.

V. Hatzivassiloglou and K. R. Mckeown, Predicting the semantic orientation of adjectives, Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics ACL, EACL '97, pp.174-181, 1997.

K. Hiroshi, N. Tetsuya, and W. Hideo, Deeper sentiment analysis using machine translation technology, Proceedings of the 20th international conference on Computational Linguistics , COLING '04, pp.1-7, 2004.
DOI : 10.3115/1220355.1220426

URL : http://acl.ldc.upenn.edu/coling2004/main/pdf/71-826.pdf

F. Holz and S. Teresniak, Towards Automatic Detection and Tracking of Topic Change, Computational Linguistics and Intelligent Text Processing, pp.327-339, 2010.
DOI : 10.1007/978-3-642-12116-6_27

M. Hu and B. Liu, Mining and summarizing customer reviews, Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '04, pp.168-17704, 2004.
DOI : 10.1145/1014052.1014073

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.76.2378

M. Hu and B. Liu, Mining opinion features in customer reviews, Proceedings of the 19th national conference on Artifical intelligence (AAAI'04), pp.755-760, 2004.

K. Kannan, M. Goyal, and G. Jacob, Modeling the impact of review dynamics on utility value of a product. Social Network Analysis and Mining, pp.1-18, 2012.

T. Kasami, An efficient recognition and syntax analysis algorithm for context-free languages, 1965.

D. Klein and C. D. Manning, Accurate unlexicalized parsing, Proceedings of the 41st Annual Meeting on Association for Computational Linguistics , ACL '03, pp.423-430, 2003.
DOI : 10.3115/1075096.1075150

URL : http://acl.ldc.upenn.edu/acl2003/main/pdf/Klein.pdf

A. Lipsman, Online Consumer-Generated Reviews Have Significant Impact on Offline Purchase Behavior (comScore, Inc. and The Kelsey Group) URL http://www.comscore.com/Insights/Press_Releases, 2007.

B. Liu, Sentiment Analysis and Opinion Mining, Synthesis Lectures on Human Language Technologies, vol.5, issue.1, pp.1-167, 2012.
DOI : 10.2200/S00416ED1V01Y201204HLT016

B. Liu, M. Hu, and J. Cheng, Opinion observer, Proceedings of the 14th international conference on World Wide Web , WWW '05, pp.342-351, 2005.
DOI : 10.1145/1060745.1060797

M. P. Marcus, M. A. Marcinkiewicz, and B. Santorini, Building a Large Annotated Corpus of English: The Penn Treebank, Computational Linguistics, vol.19, issue.2, pp.313-330, 1993.

S. Matsumoto, H. Takamura, and M. Okumura, Sentiment Classification Using Word Sub-sequences and Dependency Sub-trees, Proceedings of the 9th Pacific- Asia Conference on Advances in Knowledge Discovery and Data Mining, pp.301-31105, 2005.
DOI : 10.1007/11430919_37

R. Mcdonald and J. Nivre, Analyzing and Integrating Dependency Parsers, Computational Linguistics, vol.19, issue.1, pp.197-230, 2011.
DOI : 10.1002/net.3230070103

Q. Miao, Q. Li, and R. Dai, AMAZING: A sentiment mining and retrieval system, Expert Systems with Applications, vol.36, issue.3, pp.7192-7198, 2009.
DOI : 10.1016/j.eswa.2008.09.035

M. Missen, M. Boughanem, and G. Cabanac, Opinion Mining: Reviewed from Word to Document Level. Social Network Analysis and Mining, pp.1-19, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01139760

K. Moilanen and S. Pulman, Sentiment Composition, Proceedings of the Recent Advances in Natural Language Processing International Conference, pp.378-382, 2007.

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.341-34902, 2002.
DOI : 10.1145/775047.775098

A. Mukherjee, B. Liu, and N. Glance, Spotting fake reviewer groups in consumer reviews, Proceedings of the 21st international conference on World Wide Web, WWW '12, pp.191-200, 2012.
DOI : 10.1145/2187836.2187863

D. Nadeau and S. Sekine, A survey of named entity recognition and classification, Lingvisticae Investigationes, pp.3-26, 2007.
DOI : 10.1075/bct.19.03nad

O. Connor and P. , Managing a Hotel's Image on TripAdvisor, Journal of Hospitality Marketing & Management, vol.19, issue.7, pp.754-772, 2010.
DOI : 10.1080/19368623.2010.508007

D. Oelke, M. C. Hao, C. Rohrdantz, D. A. Keim, U. Dayal et al., Visual opinion analysis of customer feedback data, 2009 IEEE Symposium on Visual Analytics Science and Technology, pp.187-194, 2009.
DOI : 10.1109/VAST.2009.5333919

B. Pang and L. Lee, A sentimental education, Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics , ACL '04, pp.271-278, 2004.
DOI : 10.3115/1218955.1218990

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

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.1344

B. Pang, L. Lee, and S. Vaithyanathan, Thumbs up?, Proceedings of the ACL-02 conference on Empirical methods in natural language processing , EMNLP '02, pp.79-86, 2002.
DOI : 10.3115/1118693.1118704

T. Pedersen and V. Kolhatkar, Word- Net::SenseRelate::AllWords: a broad coverage word sense tagger that maximizes semantic relatedness, The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp.17-20, 2009.

V. Pekar and S. Ou, Discovery of subjective evaluations of product features in hotel reviews, Journal of Vacation Marketing, vol.30, issue.2, pp.145-155, 2008.
DOI : 10.1177/1356766707087522

S. P. Ponzetto and M. Strube, An API for measuring the relatedness of words in Wikipedia, Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, ACL '07, pp.49-52, 2007.
DOI : 10.3115/1557769.1557785

A. M. Popescu and O. Etzioni, Extracting Product Features and Opinions from Reviews, Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing ACL, HLT '05, pp.339-346, 2005.

G. Qiu, B. Liu, J. Bu, and C. Chen, Expanding Domain Sentiment Lexicon Through Double Propagation, Proceedings of the 21st International Joint Conference on Artifical Intelligence, pp.1199-1204, 2009.

G. Qiu, B. Liu, J. Bu, and C. Chen, Opinion Word Expansion and Target Extraction through Double Propagation, Computational Linguistics, vol.37, issue.1, pp.9-27, 2011.
DOI : 10.1162/0891201041850885

G. Salton and C. Buckley, Term-weighting approaches in automatic text retrieval, Information Processing and Management, pp.513-523, 1988.
DOI : 10.1016/0306-4573(88)90021-0

I. Titov and R. Mcdonald, Modeling online reviews with multi-grain topic models, Proceeding of the 17th international conference on World Wide Web , WWW '08, pp.111-120, 2008.
DOI : 10.1145/1367497.1367513

P. D. Turney, Thumbs up or thumbs down?, Proceedings of the 40th Annual Meeting on Association for Computational Linguistics , ACL '02, pp.417-424, 2002.
DOI : 10.3115/1073083.1073153

P. D. Turney and M. L. Littman, Measuring praise and criticism, ACM Transactions on Information Systems, vol.21, issue.4, pp.315-346, 2003.
DOI : 10.1145/944012.944013

M. Warschauer, R. Black, and Y. Chou, Online Englishes The Routledge Handbook of World Englishes, pp.490-505, 2010.

Y. Wu, F. Wei, S. Liu, N. Au, W. Cui et al., OpinionSeer: Interactive Visualization of Hotel Customer Feedback, IEEE Transactions on Visualization and Computer Graphics, issue.6, pp.16-1109, 2010.

Q. Ye, R. Law, and B. Gu, The impact of online user reviews on hotel room sales, International Journal of Hospitality Management, vol.28, issue.1, pp.180-182, 2009.
DOI : 10.1016/j.ijhm.2008.06.011

Z. Zhai, B. Liu, H. Xu, and P. Jia, Clustering product features for opinion mining, Proceedings of the fourth ACM international conference on Web search and data mining, WSDM '11, pp.347-354, 2011.
DOI : 10.1145/1935826.1935884

Z. Zhai, B. Liu, H. Xu, and P. Jia, Constrained LDA for Grouping Product Features in Opinion Mining Advances in Knowledge Discovery and Data Mining, pp.448-459, 2011.

L. Zhang and B. Liu, Identifying noun product features that imply opinions, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers, pp.575-580, 2011.

L. Zhang, B. Liu, S. Lim, and E. O-'brien-strain, Extracting and ranking product features in opinion documents, Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pp.1462-1470, 2010.

L. Zhou and P. Chaovalit, Ontology-supported polarity mining, Journal of the American Society for Information Science and Technology, vol.8, issue.1, pp.98-110, 2008.
DOI : 10.1002/asi.20735