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An effective emotional barometer Un baromètre affectif effectif

Domain:

natural language processing

Record type:

papersoftware
Creator:
BesFaiKev
Editor:
UniCen
Publisher:
CCSD
Host:avatar
International audience The work objective of the research project presented here is to develop an Information Extraction method for selecting sentences containing named entities (person names or organisation names) and for rating automatically their affective valence (pleasant-unpleasant). In order to achieve this goal, a named entities extraction system is used together with a lexical analyser based on electronic dictionaries containing affectiveness scores. In parallel, we have built a reference corpus which permits to evaluate the scoring system by comparing its results to the judgment of human subjects L'objectif de la recherche rapportée ici est de développer une technique d'extraction d'information permettant de déterminer automatiquement la valence affective de phrases qui mentionnent des noms de personnalités ou de sociétés. Pour ce faire un extracteur d'entités nommées est associé à un programme d'analyse lexicale faisant appel à des dictionnaires de valence affective. Un corpus de référence est établi pour mesurer les performances du système proposé en les comparant à des jugements humains.

Visit

hal.science

Tasks

information extractionnamed entity recognitionsentiment analysistext classification

Tags

Information extractionnamed entitiesaffective valenceentités nomméesextraction d'informationvalence affective[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL][SHS.LANGUE]Humanities and Social Sciences/Linguistics[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-TT]Computer Science [cs]/Document and Text Processing

Licenses

info:eu-repo/semantics/OpenAccess

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