.. Approche-probabiliste-de-la-fouille, 1 Classification de documents pour la fouille d'opinion, p.60

.. Différentes-formes-de-termes, 18 Noms et syntagmes nominaux

.. Richesse-des-termes-extraits, 21 2.3.2 Méthodes de recherche d'information pour la fouille d'opinion, p.22

S. Hétérogénéité-des, 24 Catégories grammaticales, p.24

.. Classification-de-documents-pour-la-fouille-d-'opinion, 60 5.1.1 Classification, p.61

.. Le-meilleur-des-deux-mondes, 72 6.1.1 Éléments symboliques pour l'approche probabiliste, p.73

C. Évaluation-du-modèle, entraîné sur un domaine différent) et de l'extraction de patrons par amorce pour la détection d'opinion parmi des avis sur des appareils électroniques en chinois

. Liu, Représentation visuelle du résumé d'opinion tel que présenté dans, p.40, 2005.

.. Matrices-de-llosa, Les éléments « basiques » sont les services que l'utilisateur s'attend à avoir et qui contribuent donc uniquement à une insatisfaction en cas d'absence ; les éléments « plus » sont les services auquel l'utilisateur ne s'attend pas et qui contribuent à une hausse de satisfaction seulement ; les éléments « clés » sont fortement associés à la satisfaction comme à l'insatisfaction des utilisateurs, et les éléments « secondaires » sont les services qui y contribuent peu, p.41

Z. Bibliographieabacha, A. B. Abacha, and P. Zweigenbaum, Medical entity recognition : A comparison of semantic and statistical methods, Proceedings of BioNLP 2011 Workshop, pp.56-64, 2011.

S. Abney, Statistical methods and linguistics. The balancing act : Combining symbolic and statistical approaches to language, pp.1-26, 1996.

. Alm, Emotions from text, Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing , HLT '05, pp.579-586, 2005.
DOI : 10.3115/1220575.1220648

H. Alshawi, Qualitative and quantitative models of speech translation. The Balancing Act : Combining symbolic and statistical approaches to language, p.73, 1994.

. Augustyn, Lexique des affects : constitution de ressources pédagogiques numériques, Proceedings of CEDIL 2006, pp.407-414, 2006.

. Awasthi, Part of speech tagging and chunking with HMM and CRF, Proceedings of the NLPAI Machine Learning Competition, pp.69-109, 2006.

. Baccianella, Sentiwordnet 3.0 : An enhanced lexical resource for sentiment analysis and opinion mining, Proceedings of LREC 2010, pp.2200-2204, 2010.

. Bengio, Neural Probabilistic Language Models, Journal of machine learning research, pp.1137-1155, 2003.
DOI : 10.1007/3-540-33486-6_6

URL : https://hal.archives-ouvertes.fr/hal-01434258

E. Benveniste, De la subjectivité dans le langage, Problèmes de linguistique générale, pp.258-266, 1958.

. Blair-goldensohn, . Hannan, S. Blair-goldensohn, and K. Hannan, Building a sentiment summarizer for local service reviews, NLP in the Information Explosion Era Workshop, pp.339-348, 2008.

. Blei, Latent dirichlet allocation, In Journal of Machine Learning Research, vol.2, issue.87, pp.993-1022, 2003.

. Blitzer, Biographies, bollywood, boom-boxes and blenders : Domain adaptation for sentiment classification, Proceedings of ACL 2007, pp.440-447, 2007.

I. Bogost, Gamification is bullshit. The gameful world : Approaches, issues, applications, pp.65-80, 2011.

. Bontcheva, GATE Teamware: a web-based, collaborative text annotation framework, Language Resources and Evaluation, pp.1007-1029, 2013.
DOI : 10.1007/s10579-005-7880-9

URL : https://link.springer.com/content/pdf/10.1007%2Fs10579-013-9215-6.pdf

N. Boubel, Construction automatique d'un lexique de modifieurs de polarité, Proceedings of TALN 2012, pp.123-136, 2012.

D. Bourigault, Lexter : un Logiciel d'EXtraction de TERminologie : application à l'acquisition des connaissances à partir de textes, p.22, 1994.

L. Bradley, M. M. Bradley, and P. J. Lang, Affective norms for English words (ANEW) : Instruction manual and affective ratings, p.62, 1999.

. Breck, Identifying expressions of opinion in context, Proceedings of IJCAI 2007, pp.2683-2688, 2007.

. Brun, . Gala, C. Brun, and N. Gala, Propagation de polarités dans des familles de mots : impact de la morphologie dans la construction d'un lexique pour l'analyse d'opinions, Proceedings of TALN 2012, pp.495-502, 2012.

. Brun, XRCE at SemEval-2016 Task 5: Feedbacked Ensemble Modeling on Syntactico-Semantic Knowledge for Aspect Based Sentiment Analysis, Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp.277-281, 2016.
DOI : 10.18653/v1/S16-1044

. Cambria, An ELM-based model for affective analogical reasoning, Neurocomputing, pp.443-455, 2015.
DOI : 10.1016/j.neucom.2014.01.064

. Chamberlain, Phrase detectives : A web-based collaborative annotation game, Proceedings of I-Semantics, pp.42-49, 2008.

S. Chen, Y. Chen, and S. Skiena, Building Sentiment Lexicons for All Major Languages, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp.383-389, 2014.
DOI : 10.3115/v1/P14-2063

URL : http://aclweb.org/anthology/P/P14/P14-2063.pdf

C. Choi, Y. Choi, and C. Cardie, Adapting a polarity lexicon using integer linear programming for domain-specific sentiment classification, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 2, EMNLP '09, pp.590-598, 2009.
DOI : 10.3115/1699571.1699590

. Choi, Identifying sources of opinions with conditional random fields and extraction patterns, Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing , HLT '05, pp.355-362, 2005.
DOI : 10.3115/1220575.1220620

K. W. Church and P. Hanks, Word association norms, mutual information, and lexicography, Proceedings of the 27th annual meeting on Association for Computational Linguistics -, pp.22-29, 1990.
DOI : 10.3115/981623.981633

URL : http://acl.ldc.upenn.edu/J/J90/J90-1003.pdf

B. Daille, Study and implementation of combined techniques for automatic extraction of terminology, The balancing act : Combining symbolic and statistical approaches to language, pp.49-66, 1996.

A. Das and S. Bandyopadhyay, SentiWordNet for Indian languages, Proceedings of the 8th Workshop on Asian Language Resources, pp.56-63, 2010.

. De-albornoz, SentiSense : An easily scalable concept-based affective lexicon for sentiment analysis, Proceedings of LREC 2012, pp.3562-3567, 2012.

W. Deng, L. Deng, and J. Wiebe, Joint Prediction for Entity/Event-Level Sentiment Analysis using Probabilistic Soft Logic Models, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp.179-189, 2015.
DOI : 10.18653/v1/D15-1018

URL : http://aclweb.org/anthology/D/D15/D15-1018.pdf

L. Dey and S. M. Haque, Opinion mining from noisy text data, Proceedings of AND 2008, pp.205-226, 2009.
DOI : 10.1145/1390749.1390763

. Ding, A holistic lexicon-based approach to opinion mining, Proceedings of the international conference on Web search and web data mining , WSDM '08, pp.231-240, 2008.
DOI : 10.1145/1341531.1341561

URL : http://www.cs.uic.edu/~liub/FBS/opinion-mining-final-WSDM.pdf

W. Dziedzic, D. Dziedzic, and W. W?odarczyk, Making NLP games with a purpose fun to play using Free to Play mechanics : RoboCorp case study, Proceedings of EACL - Games4NLP Workshop, pp.187-197, 2016.
DOI : 10.1515/bams-2016-0020

. Ekman, P. Oster-]-ekman, and H. Oster, Facial expressions of emotion, Annual review of psychology, pp.527-554, 1979.

A. Esuli, Automatic generation of lexical resources for opinion mining, ACM SIGIR Forum, vol.42, issue.2, p.88, 2008.
DOI : 10.1145/1480506.1480528

. Fan, Liblinear : A library for large linear classification, In Journal of Machine Learning Research, vol.9, pp.1871-1874, 2008.

C. Fellbaum and . Feng, WordNet : An Electronic Lexical Database Learning general connotation of words using graph-based algorithms, Proceedings of EMNLP 2011, pp.88-1092, 1998.

. Fort, Zombilingo : manger des têtes pour annoter en syntaxe de dépendances, Proceedngs of TALN 2014, pp.15-16, 2014.

G. Fernandez, G. Ferret, A. Fernandez, and O. Ferret, Etude de différentes stratégies d'adaptation à un nouveau domaine en fouille d'opinion, Proceedings of TALN 2012, pp.391-398, 2012.

E. Généreux and R. Evans, Towards a validated model for affective classification of texts, Proceedings of the Workshop on Sentiment and Subjectivity in Text, pp.55-62, 2006.

. Godbole, Large-Scale Sentiment Analysis for News and Blogs, Proceedings of ICWSM 2007, pp.219-222, 2007.

G. Grefenstette, Automatic thesaurus generation from raw text using knowledge-poor techniques, Making sense of Words. Ninth Annual Conference of the UW Centre for the New OED and text Research, p.17, 1993.
URL : https://hal.archives-ouvertes.fr/hal-01154133

. Hamdan, Lsislif: CRF and Logistic Regression for Opinion Target Extraction and Sentiment Polarity Analysis, Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pp.753-758, 2015.
DOI : 10.18653/v1/S15-2128

. Hamilton, Inducing domainspecific sentiment lexicons from unlabeled corpora. arXiv preprint, 2016.
DOI : 10.18653/v1/d16-1057

URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5483533/pdf

. Hamon, Analyse des émotions, sentiments et opinions exprimés dans les tweets : présentation et résultats de l'édition 2015 du défi fouille de texte (DEFT), Proceedings of TALN 2015, p.34, 2015.

V. Hatzivassiloglou, Do we need linguistics when we have statistics ? a comparative analysis of the contributions of linguistic cues to a statistical word grouping system, The balancing act : Combining symbolic and statistical approaches to language, pp.67-94, 1996.

M. Hatzivassiloglou, V. Hatzivassiloglou, and K. R. Mckeown, Predicting the semantic orientation of adjectives, Proceedings of ACL 1997, pp.174-181, 1997.

. Hernandez, Exploitation de lexiques pour la catégorisation fine d'émotions, de sentiments et d'opinions, Proceedings of DEFT 2015, pp.51-60, 2015.

S. Hochreiter and J. Schmidhuber, Long Short-Term Memory, Neural Computation, vol.4, issue.8, pp.1735-1780, 1997.
DOI : 10.1016/0893-6080(88)90007-X

L. Hu, 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.168-177, 2004.
DOI : 10.1145/1014052.1014073

URL : http://www.cs.uic.edu/~liub/publications/kdd04-revSummary.pdf

. Huang, New Word Detection for Sentiment Analysis, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp.531-541, 2014.
DOI : 10.3115/v1/P14-1050

. Huang, Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint, 2015.

C. Jacquemin, FASTR : A unification-based front-end to automatic indexing, Intelligent Multimedia Information Retrieval Systems and Management, pp.34-47, 1994.

J. , G. Jakob, N. Gurevych, and I. , Extracting Opinion Targets in a Singleand Cross-Domain Setting with Conditional Random Fields, Proceedings of EMNLP 2010, pp.1035-1045, 2010.

. Jijkoun, Generating focused topicspecific sentiment lexicons, Proceedings of ACL 2010, pp.585-594, 2010.

. Jijkoun, Named entity normalization in user generated content, Proceedings of the second workshop on Analytics for noisy unstructured text data, AND '08, pp.23-30, 2008.
DOI : 10.1145/1390749.1390755

. Joshi, Measuring Sentiment Annotation Complexity of Text, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp.36-41, 2014.
DOI : 10.3115/v1/P14-2007

. Kanayama, . Nasukawa, H. Kanayama, and T. Nasukawa, Fully automatic lexicon expansion for domain-oriented sentiment analysis, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, EMNLP '06, pp.355-363, 2006.
DOI : 10.3115/1610075.1610125

URL : http://www.aclweb.org/anthology-new/W/W06/W06-1642.pdf

C. Kapur, S. Kapur, and R. Clark, The automatic construction of a symbolic parser via statistical techniques. The Balancing Act : Combining Symbolic and Statistical Approaches to Language, p.72, 1996.

C. Kerbrat-orecchioni, L'Énonciation, De la subjectivité dans le langage, p.24, 1980.

H. Kim, S. Kim, and E. Hovy, Determining the sentiment of opinions, Proceedings of the 20th international conference on Computational Linguistics , COLING '04, pp.1367-1402, 2004.
DOI : 10.3115/1220355.1220555

R. Klavans, J. L. Klavans, and P. Resnik, The balancing act : Combining symbolic and statistical approaches to language, p.72, 1996.

S. Krug, Don't Make Me Think : A Common Sense Approach to the Web New Riders Publishing, p.111, 2005.

. Ku, Major topic detection and its application to opinion summarization, Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '05, pp.627-628, 2005.
DOI : 10.1145/1076034.1076161

T. Kudo-]-kudo, CRF++ : Yet another CRF toolkit. https ://taku910.github, p.66, 2005.

. Lafferty, Conditional random fields : Probabilistic models for segmenting and labeling sequence data, Proceedings of ICML 2001, pp.282-289, 2001.

. Lafourcade, M. Joubert-]-lafourcade, and A. Joubert, Jeuxdemots : un prototype ludique pour l'émergence de relations entre termes, Proceedings of JADT 2008, pp.657-666, 2008.

. Lark, A comparative study of targetbased and entity-based opinion extraction, Proceedings of CICLING 2017, p.116, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01537896

. Lark, CANÉPHORE : un corpus français pour la fouille d'opinion ciblée, Proceedings of TALN 2015, pp.418-424, 2015.

. Lark, Extraction d'opinions ambigües dans des corpus d'avis clients, Proceedings of TALN 2016, pp.451-458, 2016.

. Lavalley, Extraction probabiliste de chaînes de mots relatives à une opinion, Traitement Automatique des Langues, vol.51, pp.101-130, 2010.

V. I. Levenshtein, Binary codes capable of correcting deletions, insertions, and reversals, Soviet physics doklady, pp.707-710, 1966.

G. Lewis, D. D. Lewis, and W. A. Gale, A sequential algorithm for training text classifiers, Proceedings of SIGIR 1994, pp.3-12, 1994.
DOI : 10.1145/219587.219592

URL : http://www.cs.wustl.edu/~zy/paper/lewis95sequential.ps

. Li, Structureaware review mining and summarization, Proceedings of COLING 2010, pp.653-661, 2010.

. Li, Cross-domain co-extraction of sentiment and topic lexicons, Proceedings of ACL 2012, pp.410-419, 2012.

. Linehan, Practical, appropriate, empirically-validated guidelines for designing educational games, Proceedings of the 2011 annual conference on Human factors in computing systems, CHI '11, pp.1979-1988, 2011.
DOI : 10.1145/1978942.1979229

B. Liu, Sentiment Analysis and Opinion Mining, Morgan & Claypool, vol.6, issue.26, pp.30-41, 2012.
DOI : 10.2200/s00416ed1v01y201204hlt016

URL : http://www.cs.uic.edu/%7Eliub/FBS/SentimentAnalysis-and-OpinionMining.pdf

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

. Liu, A model of textual affect sensing using real-world knowledge, Proceedings of the 8th international conference on Intelligent user interfaces, IUI '03, pp.125-152, 2003.
DOI : 10.1145/604045.604067

. Liu, Automated Rule Selection for Aspect Extraction in Opinion Mining, Proceedings of IJCAI 2015, pp.1291-1297, 2015.

L. Llosa, S. Vossen, and P. , Contributions à l'étude de la satisfaction dans les services. PhD thesis. 40 [Maks and Vossen, 2012] Maks, I Building a fine-grained subjectivity lexicon from a web corpus, Proceedings of LREC 2012, pp.3070-3076, 1996.

M. Marchand, Fouille d'opinion : ces mots qui changent de polarité selon le domaine, Proceedings of CORIA 2013, pp.347-352, 2013.

. Marchand, Influence des marqueurs multi-polaires dépendant du domaine pour la fouille d'opinion au niveau du texte, Proceedings of TALN 2014, pp.1-12, 2014.

W. Martin, J. R. Martin, and P. R. White, The language of evaluation, p.24, 2003.
DOI : 10.1057/9780230511910

. Meng, Entity-centric topic-oriented opinion summarization in twitter, Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '12, pp.379-387, 2012.
DOI : 10.1145/2339530.2339592

. Mikolov, Efficient estimation of word representations in vector space, pp.1-12, 2013.

A. Millour and K. Fort, Construction de ressources langagières annotées par myriadisation pour le traitement automatique des langues peu dotées : le cas de l'alsacien, p.113, 2016.

E. Moghaddam, S. Moghaddam, and M. Ester, The FLDA model for aspect-based opinion mining, Proceedings of the 22nd international conference on World Wide Web, WWW '13, pp.909-918, 2013.
DOI : 10.1007/978-3-642-20841-6_38

. Mohammad, Generating high-coverage semantic orientation lexicons from overtly marked words and a thesaurus, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 2, EMNLP '09, pp.599-608, 2009.
DOI : 10.3115/1699571.1699591

URL : http://www.aclweb.org/anthology/D/D09/D09-1063.pdf

J. Morin, E. Morin, and C. Jacquemin, Automatic Acquisition and Expansion of Hypernym Links, Computers and the Humanities, pp.363-396, 2004.
DOI : 10.1007/s10579-004-1926-2

URL : https://hal.archives-ouvertes.fr/hal-00442234

S. Müller, C. Müller, and M. Strube, Multi-level annotation of linguistic data with mmax2. In Corpus technology and language pedagogy : New resources, new tools, new methods, pp.197-214, 2006.

C. Murray, G. Murray, and G. Carenini, Subjectivity detection in spoken and written conversations, Natural Language Engineering, vol.9, issue.03, pp.99-130, 2011.
DOI : 10.1111/j.1467-8640.2006.00275.x

. Nazarenko, Évaluation des outils terminologiques : enjeux, difficultés et propositions, Traitement automatique des Langues, pp.257-281, 2009.

W. Needleman, S. B. Needleman, and C. D. Wunsch, A general method applicable to the search for similarities in the amino acid sequence of two proteins, Journal of Molecular Biology, vol.48, issue.3, pp.443-453, 1970.
DOI : 10.1016/0022-2836(70)90057-4

P. V. Ogren, Knowtator, Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology companion volume: demonstrations -, pp.273-275, 2006.
DOI : 10.3115/1225785.1225791

. Oprescu, I PLAY AT WORK???ten principles for transforming work processes through gamification, Frontiers in Psychology, vol.5, p.113, 2014.
DOI : 10.3389/fpsyg.2014.00014

URL : http://journal.frontiersin.org/article/10.3389/fpsyg.2014.00014/pdf

S. Otmakhova, Y. Otmakhova, and H. Shin, Do We Really Need Lexical Information? Towards a Top-down Approach to Sentiment Analysis of Product Reviews, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.1559-1568, 2015.
DOI : 10.3115/v1/N15-1179

M. Donnell, The uam corpustool : Software for corpus annotation and exploration, Proceedings of AESLA 2008, pp.3-5, 2008.

P. Pak, A. Pak, and P. Paroubek, Construction d'un lexique affectif pour le français à partir de twitter, Proceedings of TALN 2010, p.87, 2010.

. Pang, . Lee, B. Pang, and L. Lee, Opinion Mining and Sentiment Analysis, Foundations and Trends?? in Information Retrieval, vol.2, issue.1???2, p.20, 2008.
DOI : 10.1561/1500000011

URL : http://www.nowpublishers.com/article/DownloadSummary/INR-011

. Pang, 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

. Parasca, Defining Words with Words: Beyond the Distributional Hypothesis, Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, pp.122-126, 2016.
DOI : 10.18653/v1/W16-2522

. Park, Automatic glossary extraction, Proceedings of the 19th international conference on Computational linguistics -, pp.1-7, 2002.
DOI : 10.3115/1072228.1072370

. Pazienza, Terminology Extraction: An Analysis of Linguistic and Statistical Approaches, Knowledge mining, pp.255-279, 2005.
DOI : 10.1007/3-540-32394-5_20

. Perez-rosas, Learning Sentiment Lexicons in Spanish, Proceedings of LREC 2012, pp.73-89, 2012.

. Petz, Opinion Mining on the Web 2.0 ??? Characteristics of User Generated Content and Their Impacts, Human-Computer Interaction and Knowledge Discovery in Complex, pp.35-46, 2013.
DOI : 10.1007/978-3-642-39146-0_4

. Piao, Comparing and combining a semantic tagger and a statistical tool for MWE extraction, Computer Speech & Language, pp.378-397, 2005.
DOI : 10.1016/j.csl.2004.11.002

. Pontiki, SemEval-2016 Task 5: Aspect Based Sentiment Analysis, Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), p.64, 2016.
DOI : 10.18653/v1/S16-1002

. Pontiki, SemEval-2015 Task 12: Aspect Based Sentiment Analysis, Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pp.486-495, 2015.
DOI : 10.18653/v1/S15-2082

. Pontiki, SemEval-2014 Task 4: Aspect Based Sentiment Analysis, Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), p.64, 2014.
DOI : 10.3115/v1/S14-2004

E. Popescu, A. Popescu, and O. Etzioni, Extracting Product Features and Opinion from Reviews, Proceedings of HLT-EMNLP 2005, pp.339-346, 2005.
DOI : 10.3115/1220575.1220618

P. Price, Combining linguistic with statistical methods in automatic speech understanding . The Balancing Act : Combining symbolic and statistical approaches to language, pp.76-83, 1994.

. Qiu, Expanding domain sentiment lexicon through double propagation, Proceedings of IJCAI 2009, pp.1199-1204, 2009.

. Qiu, Opinion Word Expansion and Target Extraction through Double Propagation, Computational Linguistics, pp.9-27, 2011.
DOI : 10.1162/0891201041850885

URL : http://doi.org/10.1162/coli_a_00034

F. Rastier, Le terme : entre ontologie et linguistique, La banque des mots, pp.35-65, 1995.

J. Read and J. Carroll, Weakly supervised techniques for domainindependent sentiment classification, Proceedings of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion, pp.45-52, 2009.
DOI : 10.1145/1651461.1651470

E. Riloff and J. Wiebe, Learning extraction patterns for subjective expressions, Proceedings of the 2003 conference on Empirical methods in natural language processing -, pp.105-112, 2003.
DOI : 10.3115/1119355.1119369

URL : http://acl.ldc.upenn.edu/W/W03/W03-1014.pdf

. Riloff, Learning subjective nouns using extraction pattern bootstrapping, Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 -, pp.25-32, 2003.
DOI : 10.3115/1119176.1119180

URL : http://cnts.uia.ac.be/conll2003/pdf/02532ril.pdf

. Rosé, A hybrid text classification approach for analysis of student essays, Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing -, pp.68-75, 2003.
DOI : 10.3115/1118894.1118904

. Rosé, C. P. Rosé, and A. Waibel, Recovering from parser failures : A hybrid statistical/symbolic approach. arXiv preprint cmp-lg, p.73, 1994.

J. C. Sager, A practical course in terminology processing, p.17, 1990.
DOI : 10.1075/z.44

. Seddah, The french social media bank : a treebank of noisy user generated content, Proceedings of COLING 2012, p.19, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00780898

B. Settles, Active learning literature survey, 2010.

. Settles, Active learning with real annotation costs, Proceedings of the NIPS workshop on cost-sensitive learning, pp.1-10, 2008.

. Seung, Query by committee, Proceedings of the fifth annual workshop on Computational learning theory , COLT '92, pp.287-294, 1992.
DOI : 10.1145/130385.130417

. Socher, Learning continuous phrase representations and syntactic parsing with recursive neural networks, Proceedings of the NIPS-2010 Deep Learning and Unsupervised Feature Learning Workshop, pp.1-9, 2010.

E. Spertus, Smokey : Automatic recognition of hostile messages, Proceedings of AAAI-IAAI 1997, pp.1058-1065, 1997.

G. Staiano, J. Staiano, and M. Guerini, DepecheMood : a Lexicon for Emotion Analysis from Crowd-Annotated News. arXiv preprint, 2014.
DOI : 10.3115/v1/p14-2070

URL : http://arxiv.org/abs/1405.1605

. Taboada, Lexiconbased methods for sentiment analysis, Computational Linguistics, pp.267-307, 2011.

M. Täckström, O. Täckström, and R. Mcdonald, Discovering Fine-Grained Sentiment with Latent Variable Structured Prediction Models, Proceedings of ECIR 2011, pp.368-374, 2011.
DOI : 10.3115/1220575.1220619

X. Tannier, Webannotator, an annotation tool for web pages, Proceedings of LREC 2012, pp.316-319, 2012.

E. Riloff, A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts, Proceedings of EMNLP 2002, pp.214-221, 2002.

K. Tomanek, Resource-aware annotation through active learning, 2010.

K. Tomanek and U. Hahn, Semi-supervised active learning for sequence labeling, Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2, ACL-IJCNLP '09, pp.1039-1047, 2009.
DOI : 10.3115/1690219.1690291

URL : http://aclweb.org/anthology-new/P/P09/P09-1117.pdf

P. 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

M. Vernier and . Vernier, Analyse à granularité fine de la subjectivité Identifier la cible d'un passage d'opinion dans un corpus multithématique, Proceedings of TALN 2011, p.28, 2011.

B. Vincze, N. Vincze, and Y. Bestgen, Identification de mots germes pour la construction d'un lexique de valence au moyen d'une procédure supervisée, Proceedings of TALN 2011, pp.223-234, 2011.

C. Wang, L. Wang, and C. Cardie, A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp.693-699, 2014.
DOI : 10.3115/v1/P14-2113

S. Weinschenk, 100 things every designer needs to know about people. Pearson Education, p.111, 2011.

. Westerhout, . Monachesi, E. Westerhout, and P. Monachesi, Creating Glossaries Using Pattern-Based and Machine Learning Techniques, Proceddings of LREC, 2008.

M. Wiebe, J. Wiebe, and R. Mihalcea, Word sense and subjectivity, Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL , ACL '06, pp.1065-1072, 2006.
DOI : 10.3115/1220175.1220309

URL : http://acl.ldc.upenn.edu/P/P06/P06-1134.pdf

. Wiebe, Annotating Expressions of Opinions and Emotions in Language, Language Resources and Evaluation, vol.7, issue.3, pp.165-210, 2005.
DOI : 10.1075/z.59

. Wiebe, Development and Use of a Gold - Standard DataSet for Subjectivity Classifications, Proceedings of ACL 1999, pp.246-253, 1999.

M. Wiegand and D. Klakow, Bootstrapping supervised machinelearning polarity classifiers with rule-based classification, Proceedings of WASSA 2010, pp.59-66, 2010.
DOI : 10.1007/s10579-013-9218-3

. Wilson, 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

. Wu, Emotion recognition from text using semantic labels and separable mixture models, Asian and Low-Resource Language Information Processing, pp.165-183, 2006.
DOI : 10.1145/1165255.1165259

. Yi, Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques, Third IEEE International Conference on Data Mining, pp.427-434, 2003.
DOI : 10.1109/ICDM.2003.1250949

. Yimam, Webanno : A flexible, web-based and visually supported system for distributed annotations, Proceedings of ACL 2013 (Demonstrations), pp.1-6, 2013.

. Yiou, An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding, Proceedings of PACLIC 2015, 2015.

Y. , H. Yu, H. Hatzivassiloglou, and V. , Towards answering opinion questions : Separating facts from opinions and identifying the polarity of opinion sentences, Proceedings of EMNLP 2003, pp.129-136, 2003.

W. Wenting, DLIREC : Aspect Term Extraction and Term Polarity Classification System, Proceedings of SemEval 2014 ABSA Workshop, pp.235-240, 2014.

#. Unigram and U. , U112:%x[0,1] U113:%x[1,1] U221:%x[-1,2] U222:%x[0,2] U223:%x[1,2] U331:%x, p.1