point important à la vue des résultats obtenus est la réussite de l'implémentation de l'approche linguistique, ce qui démontre l'importance de l'utilisation de l'analyse linguistique dans le domaine de l'Opinon Mining. References Alshawi, H. 1992. The core language Engine, Series in Natural language Processing, p.48 ,
Probabilistic learning for selective dissemination of information, Information Processing & Management, vol.35, issue.5, pp.633-654, 1999. ,
DOI : 10.1016/S0306-4573(99)00012-6
An experimental comparison of naive Bayesian and keywordbased anti-spam filtering with personal e-mail messages, 23rd ACM International Conference on Research and Development in Information Retrieval, SIGIR-00, pp.160-167, 2000. ,
Automated learning of decision rules for text categorization, ACM Trans. on Inform. Syst, vol.12, pp.233-251, 1994. ,
Categorization by context, J. Univers. Comput. Sci, vol.4, pp.719-736, 1998. ,
Grammaires locales et lexique-grammaire pour le filtrage d?information Vers une (re)utilisabilite des ressources linquistique pour la recherche d?information, Conference TIA, p.53, 2001. ,
Information filtering and information retrieval: two sides of the same coin?, Communications of the ACM, vol.35, issue.12, pp.29-38, 1992. ,
DOI : 10.1145/138859.138861
Le modele DSIR : une approchea base de semantique distributionnelle pour la recherche documentaire, Revue TAL, vol.41, pp.1-27, 2000. ,
Automatic Document Classification, Journal of the ACM, vol.10, issue.2, pp.151-161, 1963. ,
DOI : 10.1145/321160.321165
N-grambased text categorization, 3rd Annual Symposium on Document Analysis and Information Retrieval, pp.94-161, 1994. ,
Optimizing convenient online access to bibliographic databases, Inform. Serv. Use, vol.4, pp.37-47, 1984. ,
Context-sensitive learning methods for text categorization, ACM Transactions on Information Systems, vol.17, issue.2, pp.141-173, 1999. ,
DOI : 10.1145/306686.306688
Elements of Information Theory, p.85, 1991. ,
Mistakedriven learning in text categorization, 2nd Conference on Empirical Methods in Natural Language Processing, pp.97-55, 1997. ,
Yahoo ! for Amazon : Extracting Market Sentiment from Stock Message Boards, Proceedings of the Asia Pacific Finance Association Annual Conference (APFA, p.43, 2001. ,
Mining the peanut gallery, Proceedings of the twelfth international conference on World Wide Web , WWW '03, p.44, 2003. ,
DOI : 10.1145/775152.775226
Indexing by latent semantic analysis, Journal of the American Society for Information Science, vol.41, issue.6, pp.391-407, 1990. ,
DOI : 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9
Support vector machines for spam categorization, IEEE Transactions on Neural Networks, vol.10, issue.5, pp.1048-1054, 1999. ,
DOI : 10.1109/72.788645
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.9503
Inductive learning algorithms and representations for text categorization, Proceedings of the seventh international conference on Information and knowledge management , CIKM '98, pp.148-155, 1998. ,
DOI : 10.1145/288627.288651
Analyse et développement d'un outil de filtrage de données, p.58, 2005. ,
Graph based system purpose -built for automatic retrieval and extraction of the electronics data, Internet and Multimedia Systems and Applications, p.67, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00861387
Rcss -rating critics support system purpose built for movies recommendation, Advances in Intelligent Web Mastering, p.85, 2007. ,
An autonomous system designed for automatic detection and rating of film. Extraction and linguistic analysis of sentiments, Accepted to publication in : Proceedings of IEEE|WIE|ACM International Conference of Web Intelligence, p.61, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00861362
Tool of the intelligence economic : Recognition function of reviews critics, ICSOFT 2008 Proceedings, p.61, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00861380
Boosting Applied to Word Sense Disambiguation, 11th European Conference on Machine Learning, pp.0-129, 2000. ,
DOI : 10.1007/3-540-45164-1_14
New directions in text categorization. n Causal Models and Intelligent Data Management, pp.151-185, 1999. ,
Machine Learning for Information Extraction in Informal Domains, p.57, 1998. ,
Retrieval test evaluation of a rule-based automated indexing (AIR/PHYS), 7th ACM International Conference on Research and Development in Information Retrieval, pp.84-391, 1984. ,
Exploiting Structural Information for Text Classification on the WWW, 3rd Symposium on Intelligent Data Analysis, pp.99-487, 1999. ,
DOI : 10.1007/3-540-48412-4_41
A method for disambiguating word senses in a large corpus, Computers and the Humanities, vol.9, issue.5-6, pp.415-439, 1993. ,
DOI : 10.1007/BF00136984
Le lexique-grammaire de M.Gross et le traitement automatique des langues, p.55, 2005. ,
URL : https://hal.archives-ouvertes.fr/inria-00000458
Computer assisted indexing, Information Storage and Retrieval, vol.7, issue.4, pp.167-174, 1971. ,
DOI : 10.1016/0020-0271(71)90002-7
The construction of local grammars. Finite-State Languauga Processing, pp.329-354, 1997. ,
URL : https://hal.archives-ouvertes.fr/halshs-00278316
Predicting the Semantic Orientation of Adjectives, Pages 174?181 of : Proceedings of the Joint ACL/EACL Conference, p.42, 1997. ,
Effects of adjective orientation and gradability on sentence subjectivity, Proceedings of the 18th conference on Computational linguistics -, p.42, 2000. ,
DOI : 10.3115/990820.990864
TCS: a shell for content-based text categorization, Sixth Conference on Artificial Intelligence for Applications, pp.320-326, 1990. ,
DOI : 10.1109/CAIA.1990.89206
A theory of relevance for automatic document classification, Information and Control, vol.22, issue.3, pp.268-278, 1973. ,
DOI : 10.1016/S0019-9958(73)90310-0
Online reputation management is hot ? but is it ethical ? Computerworld, p.36, 2008. ,
Online shopping, Pew Internet & American Life Project Report, 2008. ,
Improving Text Retrieval for the Routing Problem using Latent Semantic Indexing, 17th ACM International Conference on Research and Development in Information Retrieval, SIGIR-94, pp.282-289, 1994. ,
DOI : 10.1007/978-1-4471-2099-5_29
Boosting for document routing, Proceedings of the ninth international conference on Information and knowledge management , CIKM '00, pp.0-70, 2000. ,
DOI : 10.1145/354756.354794
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.2087
Text categorization with Support Vector Machines: Learning with many relevant features, 10th European Conference on Machine Learning, ECML-98, pp.137-142, 1998. ,
DOI : 10.1007/BFb0026683
Transductive inference for text classification using support vector machines, 16th International Conference on Machine Learning, ICML-99, pp.200-209, 1999. ,
Guest editors? introduction to the special issue on automated text categorization, Journal of Intelligent Information Systems, vol.18, issue.2/3, pp.103-105, 2002. ,
DOI : 10.1023/A:1013652626023
Evenemts, representations discursives et reference temporelle, In : Langages, nb, vol.64, p.48, 1981. ,
DOI : 10.3406/lgge.1981.1884
Automatic detection of text genre, 35th Annual Meeting of the Association for Computational Linguistics, ACL-97, pp.32-38, 1997. ,
Text filtering by boosting naive Bayes classifiers, Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '00, pp.168-175, 2000. ,
DOI : 10.1145/345508.345572
Mining online text, Communications of the ACM, vol.42, issue.11, pp.58-61, 1999. ,
DOI : 10.1145/319382.319394
Automatic essay grading using text categorization techniques, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '98, pp.90-95, 1998. ,
DOI : 10.1145/290941.290965
A patent search and classification system, Proceedings of the fourth ACM conference on Digital libraries , DL '99, pp.179-187, 1999. ,
DOI : 10.1145/313238.313304
An evaluation of phrasal and clustered representations on a text categorization task, Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '92, pp.37-50, 1992. ,
DOI : 10.1145/133160.133172
Representation and Learning in Information Retrieval, p.17, 1992. ,
Evaluating and optmizing autonomous text classification systems, 18th ACM International Conference on Research and Development in Information Retrieval, SIGIR-95, pp.246-254, 1995. ,
A sequential algorithm for training text classifiers, 17th ACM International Conference on Research and Development in Information Retrieval, SIGIR-94, pp.3-12, 1994. ,
Guest editorial for the special issue on text categorization, In : ACM Trans. Inform. Syst, vol.8, 1994. ,
Classification of Text Documents, The Computer Journal, vol.41, issue.8, pp.537-546, 1998. ,
DOI : 10.1093/comjnl/41.8.537
Text categorization for multiple users based on semantic features from a machine-readable dictionary, ACM Transactions on Information Systems, vol.12, issue.3, pp.278-295, 1994. ,
DOI : 10.1145/183422.183425
Web data mining ; Exploring hyperlinks, contents, and usage data, Chap, vol.11, p.35, 2006. ,
Automatic Indexing: An Experimental Inquiry, Journal of the ACM, vol.8, issue.3, pp.404-417, 1961. ,
DOI : 10.1145/321075.321084
Machine Learning, p.27, 1996. ,
Sentiment Analysis using Support Vector Machines with Diverse Information Sources, Pages 412?418 of : Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). Poster paper, 2004. ,
A boosting approach to topic spotting on subdialogues, 17th International Conference on Machine Learning, ICML-00, pp.655-662, 2000. ,
Effectiveness of Simple Linguistic Processing in Automatic Sentiment Classification of Product Reviews, pp.49-54, 2004. ,
Feature selection, perceptron learning, and a usability case study for text categorization, 20th ACM International Conference on Research and Development in Information Retrieval, pp.97-67, 1997. ,
A practical hypertext categorization method using links and incrementally available class information, 23rd ACM International Conference on Research and Development in Information Retrieval, SIGIR-00, pp.264-271, 2000. ,
A sentimental education, Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics , ACL '04, p.43, 2004. ,
DOI : 10.3115/1218955.1218990
Thumbs up ? Sentiment Classification using Machine Learning Techniques, Pages 79?86 of : Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). 36, pp.38-41, 2002. ,
Recherche d?expressions dans de grands corpus : le systeme AGLAE, p.50, 2000. ,
URL : https://hal.archives-ouvertes.fr/hal-00639493
De La reconnaissance de formes linquistique a l?analyse syntaxique, 2003. ,
Unitex 1.2 Manuel d?utilisation. PAUMIER S, p.52, 2004. ,
Information Extraction, In : Lecture Notes in Computer Science, vol.1714, issue.8, p.47, 1997. ,
DOI : 10.1007/3-540-48089-7
Extraction automatique de connaissances pour la decision multicritere, Ecole Nationale Superieure des Mines Saint-Etienne, p.86, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00805628
Synthesis of polynomic systems. j-SIAM-J-MATH-ANA, pp.308-315, 1980. ,
Programs for Machine Learning, p.28, 1993. ,
Automatically constructing a Dictionary for Information Extraction Tasks, Proceedings of 11th National Conference on Artificial Intelligence, AAAI'93, pp.811-816, 1993. ,
Learning extraction patterns for subjective expressions, Proceedings of the 2003 conference on Empirical methods in natural language processing -, 2003. ,
DOI : 10.3115/1119355.1119369
Feature subsumption for opinion analysis, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, EMNLP '06, p.42, 2006. ,
DOI : 10.3115/1610075.1610137
PROBABILISTIC AUTOMATIC INDEXING BY LEARNING FROM HUMAN INDEXERS, Journal of Documentation, vol.40, issue.4, pp.264-270, 1984. ,
DOI : 10.1108/eb026768
Sens et traitements automatique des lanque, Ingenierie des langues, pp.77-129, 2001. ,
Text-based approaches for non-topical image categorization, International Journal on Digital Libraries, vol.3, issue.3, pp.261-275, 2000. ,
DOI : 10.1007/s007990000038
Term-weighting approaches in automatic text retrieval, Information Processing & Management, vol.24, issue.5, pp.513-523, 1988. ,
DOI : 10.1016/0306-4573(88)90021-0
A vector space model for automatic indexing, Communications of the ACM, vol.18, issue.11, pp.613-620, 1975. ,
DOI : 10.1145/361219.361220
Introduction to modern information retrieval, p.48, 1983. ,
RELEVANCE: A review of and a framework for the thinking on the notion in information science, Journal of the American Society for Information Science, vol.4, issue.6, pp.321-343, 1975. ,
DOI : 10.1002/asi.4630260604
BoosTexter : a boosting-based system for text categorization, Machine Learning, vol.39, issue.2/3, pp.135-168, 2000. ,
DOI : 10.1023/A:1007649029923
Part-of-speech tagging with neural networks, Proceedings of the 15th conference on Computational linguistics -, pp.172-176, 1994. ,
DOI : 10.3115/991886.991915
Automatic word sense discrimination, Computat. Ling, vol.24, pp.97-124, 1998. ,
Machine learning in automated text categorization, ACM Computing Surveys, vol.34, issue.1, pp.1-47, 2002. ,
DOI : 10.1145/505282.505283
A mathematical theory of communication, Bell System Technical Journal, vol.27, p.17, 1948. ,
Dictionnaires electronique et analyse automatique de texte, le sesteme INTEX, Masson, vol.50, p.51, 1993. ,
Crystal : Inducing a Conceptual Dictionary, Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, p.56, 1995. ,
Feature selection in SVM text categorization, 16th Conference of the American Association for Artificial Intelligence, AAAI-99, pp.480-486, 1999. ,
Beyond recommender systems : helping people help each other. In : HCI in the millennium, p.59, 2001. ,
Adaptive Information Filtering using evolutionary computation, Information Sciences, vol.122, issue.2-4, pp.121-140, 2000. ,
DOI : 10.1016/S0020-0255(99)00123-1
An Operational System for Detecting and Tracking Opinions in Online Discussion, Proceedings of the Workshop on Operational Text Classification, p.35, 2001. ,
Thumbs Up or Thumbs Down ? Semantic Orientation Applied to Unsupervised Classification of Reviews, Pages 417?424 of : Proceedings of the Association for Computational Linguistics (ACL, p.42, 2002. ,
Automatic indexing based on Bayesian inference networks, Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '93, pp.22-34, 1993. ,
DOI : 10.1145/160688.160691
Natural language processing and information retrieval Information extraction, toward scalable, adaptable systems, Lecture Notes in Computer Science, pp.32-48, 1999. ,
Classification of Web documents using a naive Bayes method, Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence, pp.560-564, 2005. ,
DOI : 10.1109/TAI.2003.1250241
Exploiting hierarchy in text catagorization, Information Retrieval, vol.1, issue.3, pp.193-216, 1999. ,
DOI : 10.1023/A:1009983522080
Using appraisal groups for sentiment analysis, Proceedings of the 14th ACM international conference on Information and knowledge management , CIKM '05, p.42, 2005. ,
DOI : 10.1145/1099554.1099714
Word sense and subjectivity, Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL , ACL '06, p.40, 2006. ,
DOI : 10.3115/1220175.1220309
URL : http://acl.ldc.upenn.edu/P/P06/P06-1134.pdf
Identifying Collocations for Recognizing Opinions, Proceedings of the ACL/EACL Workshop on Collocation : Computational Extraction, Analysis, and Exploitation, p.39, 2001. ,
A neural network approach to topic spotting, 4th Annua Symposium on Document Analysis and Information Retrieval, pp.95-317, 1995. ,
Just How Mad Are You ? Finding Strong and Weak Opinion Clauses, Pages 761?769 of : Proceedings of AAAI. Extended version in Computational Intelligence, pp.73-99, 2004. ,
DOI : 10.1111/j.1467-8640.2006.00275.x
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.80.5038
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, p.39, 2005. ,
DOI : 10.3115/1220575.1220619
Progress in natural language understanding, Proceedings of the June 4-8, 1973, national computer conference and exposition on, AFIPS '73, pp.441-450, 1973. ,
DOI : 10.1145/1499586.1499695
Noise reduction in a statistical approach to text categorization, Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '95, pp.256-263, 1995. ,
DOI : 10.1145/215206.215367
An evaluation of statistical approaches to text categorization, Information Retrieval, vol.1, issue.1/2, pp.69-90, 1999. ,
DOI : 10.1023/A:1009982220290
A re-examination of text categorization methods, Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '99, pp.42-49, 1999. ,
DOI : 10.1145/312624.312647
A study of approaches to hypertext categorization, Journal of Intelligent Information Systems, vol.18, issue.2/3, pp.219-241, 2002. ,
DOI : 10.1023/A:1013685612819
Towards answering opinion questions, Proceedings of the 2003 conference on Empirical methods in natural language processing -, p.40, 2003. ,
DOI : 10.3115/1119355.1119372
A new on-line learning algorithm for adaptive text filtering, Proceedings of the seventh international conference on Information and knowledge management , CIKM '98, pp.156-160, 1998. ,
DOI : 10.1145/288627.288652
Social Media Monitoring and Analysis : Generating Consumer Insights from Online Conversation, p.37, 2008. ,
appelé état initial ? F est un sous-ensemble de K dont les éléments sont appelés états terminaux ? ? est une application, dite fonction de transition qui, à tout couple composé d'un élément q de K et d'un élément a de Ve, associe un sous-ensemble de K. On écrit r ? ?(q,a) ,
via le vocabulaire Vs, d'associer une séquence de sortie à une séquence reconnue, On utilise les transducteurs pour annoter le texte (ajouter des informations linguistiques ,
nombre fini d'états 9.1.2.1 Alphabet et symboles utilises 1. Alphabet Unitex permet à l'utilisateur de définir son propre alphabet pour une langue donnée ,