FEEL: a French Expanded Emotion Lexicon

Amine Abdaoui 1 Jérôme Azé 1 Sandra Bringay 1, 2 Pascal Poncelet 1
1 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Sentiment analysis allows the semantic evaluation of a piece of text according to the expressed sentiments and opinions. While considerable attention has been given to the polarity (positive, negative) of English words, only few studies were interested in the conveyed emotions (joy, anger, surprise, sadness, etc.) especially in other languages. This report proposes a French Expanded Emotion Lexicon. The elaboration method is based on the semi-automatic translation and expansion to synonyms of the English NRC Word Emotion Association Lexicon (NRC- EmoLex). First, online translators have been automatically queried in order to create a first version of our new French Expanded Emotion Lexicon (FEEL). Then, a human professional translator manually validated the automatically obtained entries and the associated emotions. She agreed with more than 94% of the pre- validated entries (those found by a majority of translators) and less than 18% of the remaining entries (those found by very few translators). This result highlights that online tools can be used to get high quality resources with low cost. Annotating a subset of terms by three different annotators shows that the associated sentiments and emotions are consistent.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-02136090
Contributor : Pascal Poncelet <>
Submitted on : Tuesday, May 21, 2019 - 5:45:11 PM
Last modification on : Wednesday, June 26, 2019 - 4:29:41 PM

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Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet. FEEL: a French Expanded Emotion Lexicon. 2019, ⟨swh:1:dir:35a446bb6f0808aa0db6f5bcd032f43e9ec71591⟩. ⟨lirmm-02136090⟩

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