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Explain sentiments using Conditional Random Field and a Huge Lexical Network

Abstract : In this paper, we focus on a particular task which consists in explaining the source and the target of sentiments expressed in social networks. We propose a method for French, which overcomes a fine syntactic parsing and successfully integrate the Conditional Random Field (CRF) method and a smart exploration of a very large lexical network. Quantitative and qualitative experiments were performed on real dataset to validate this approach.
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https://hal.archives-ouvertes.fr/hal-01222611
Contributor : Mike Donald Tapi Nzali <>
Submitted on : Friday, October 28, 2016 - 6:25:41 PM
Last modification on : Tuesday, May 12, 2020 - 1:46:05 PM
Document(s) archivé(s) le : Friday, February 3, 2017 - 11:45:19 AM

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  • HAL Id : hal-01222611, version 1

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Mike Donald Tapi Nzali, Joël Maïzi, Pierre Pompidor, Sandra Bringay, Christian Lavergne, et al.. Explain sentiments using Conditional Random Field and a Huge Lexical Network. SIMBig: Symposium on Information Management and Big Data, Sep 2015, Cusco, Peru. ⟨hal-01222611⟩

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