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  Enhancement of a subjective word lexicon by semantic tests Enrichissement d'un lexique de termes subjectifs à partir de tests sémantiques
 
 
Title: Enhancement of a subjective word lexicon by semantic tests Enrichissement d'un lexique de termes subjectifs à partir de tests sémantiques
Author: Matthieu Vernier
Laura Monceaux
Appeared in: Revue TAL
Paging: Volume 51 (2010) nr. 1 pages 125-149
Year: 2010
Contents: 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. The method relies on the indexing of Web 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.
Publisher: Association pour le Traitement Automatique des Langues (ATALA) (provided by DOAJ)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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