Universal approximation using radial-basis-function networks
Neural Computation
Elements of information theory
Elements of information theory
Some advances in transformation-based part of speech tagging
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
The Data Warehouse of Newsgroups
ICDT '99 Proceedings of the 7th International Conference on Database Theory
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
Classification of Web Documents Using a Naive Bayes Method
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Proceedings of the 16th international conference on World Wide Web
The utility of linguistic rules in opinion mining
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Combining rough decisions for intelligent text mining using Dempster's rule
Artificial Intelligence Review
Stakeholder detection for online debates
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
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In this paper, we focus on classifying documents according to opinion and value judgment they contain. The main originality of our approach is to combine linguistic pre-processing, classification and a voting system using several classification methods. In this context, the relevant representation of the documents allows to determine the features for storing textual data in data warehouses. The conducted experiments on very large corpora from a French challenge on text mining (DEFT) show the efficiency of our approach.