Mixing Crowdsourcing and Graph Propagation to Build a Sentiment Lexicon - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2016

Mixing Crowdsourcing and Graph Propagation to Build a Sentiment Lexicon

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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Dates and versions

lirmm-01471649 , version 1 (20-02-2017)

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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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