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Détermination de la valence affective de termes dans de grands corpus de textes

The aim of this research is to develop a method of information extraction from large corpora of texts to estimate the affective valence associated to any term. Our approach combines two techniques : latent semantic analysis (LSA) and the determination of the emotional content of a text based on the words that compose it. A preliminary study designed to evaluate this approach has been conducted on a corpus of several thousands of articles published in a Belgian newspaper. A first analysis showed that, by combining LSA and a dictionary of 3000 words, it is possible t o approximate efficiently the affective valence of words on the base of the words that are associated to them in the semantic space. A second analysis applied the technique t o firm names. We conclude by proposing some improvements of the technique.