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Communication Dans Un Congrès Année : 2015

Towards a Lexicon-grammar based Framework for NLP: an Opinion Mining Application

Résumé

The present research exploits the large amount of linguistic resources developed into the Lexicon-grammar paradigm in the domain of the Opinion Mining. Grounded on the Semantic Predicates theory, the proposed system is able to automatically match the syntactic structures selected by special classes of verbs, indicating positive or negative Sentiment, Opinion or Physical acts, with the semantic frames evoked by the same lexical items. This methods has been tested on a large dataset composed of short texts, such as tweets and news headings.
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Origine : Publication financée par une institution
Licence : CC BY NC SA - Paternité - Pas d'utilisation commerciale - Partage selon les Conditions Initiales

Dates et versions

hal-04401054 , version 1 (17-01-2024)

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Paternité - Pas d'utilisation commerciale - Partage selon les Conditions Initiales

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  • HAL Id : hal-04401054 , version 1

Citer

Annibale Elia, Serena Pelosi, Alessandro Maisto, Raffaele Guarasci. Towards a Lexicon-grammar based Framework for NLP: an Opinion Mining Application. RANLP, 2015, Hissar, Bulgaria. pp.160-167. ⟨hal-04401054⟩

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