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Mixing Crowdsourcing and Graph Propagation to Build a Sentiment Lexicon: Feelings are contagious

Mathieu Lafourcade 1 Nathalie Le Brun 2 Alain Joubert 1
1 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : This paper describes a method for building a sentiment lexicon. Its originality is to combine crowdsourcing via a Game With A Purpose (GWAP) with automated propagation of sentiments through a spreading algorithm, both using the lexical JeuxDeMots network as data source and substratum. We pre-sent the game designed to collect sentiment data, and the principles and as-sumptions underlying the action of the algorithm that propagates them within the network. Finally, we give a qualitative evaluation of the data obtained for both the game and the spreading done by the algorithm.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01471649
Contributor : Mathieu Lafourcade <>
Submitted on : Monday, February 20, 2017 - 11:11:18 AM
Last modification on : Friday, February 15, 2019 - 3:22:03 PM

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Mathieu Lafourcade, Nathalie Le Brun, Alain Joubert. Mixing Crowdsourcing and Graph Propagation to Build a Sentiment Lexicon: Feelings are contagious. NLDB: Natural Language Processing and Information Systems, Jun 2016, Manchester, United Kingdom. pp.258-266, ⟨10.1007/978-3-319-41754-7_23⟩. ⟨lirmm-01471649⟩

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