Enrichissement dun lexique de termes subjectifs à partir de tests sémantiquesReport as inadecuate




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1 LINA - Laboratoire d-Informatique de Nantes Atlantique

Abstract : Recent considerations in opinion mining, oriented by real applicative tasks, require creating lexical and semantic resources quantitatively and qualitatively rich. In this context, we present a method to automatically enhance a lexicon of subjective terms. he method relies on the indexing of documents by a search engine and large number of requests automatically sent. The construction of these requests, linguistically motivated, can infer the value of semantics and axiological aspect of a large number of adjectives, nouns and noun phrases, verbs and verbal phrases of French. We then evaluate the lexicon enhancement by testing the detection of local evaluation in a corpus of 5 000 blogs notes and comments.

Keywords : Lexical and semantic resource Machine learning. Machine learning Opinion mining Subjectivity





Author: Matthieu Vernier - Laura Monceaux -

Source: https://hal.archives-ouvertes.fr/



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