Influence des lexiques d'émotions et de sentiments sur l'analyse des sentiments Application à des critiques de livres

Lerch Soëlie 1, 2 Bellot Patrice 1 Bruno Emmanuel 2 Elisabeth Murisasco 2
1 R2I - Recherche d’information et Interactions
LIS - Laboratoire d'Informatique et Systèmes
2 DIAMS - Data Integration, Analysis, and Management as Services
LIS - Laboratoire d'Informatique et Systèmes
Abstract : ​Consumers are used to consulting posted reviews on the Internet before buying a product. But it’s difficult to know the global opinion considering the important number of those reviews. Sentiment analysis afford detecting polarity (positive, negative, neutral) in a expressed opinion and therefore classifying those reviews. Our purpose is to determine the influence of emotions on the polarity of books reviews. We define “bag-of-words” representation models of reviews which use a lexicon containing emotional (anticipation, sadness, fear, anger, joy, surprise, trust, disgust) and sentimental (positive, negative) words. This lexicon afford measuring felt emotions types by readers. The implemented supervised learning used is a Random Forest type. The application concerns Amazon platform’s reviews.
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Lerch Soëlie, Bellot Patrice, Bruno Emmanuel, Elisabeth Murisasco. Influence des lexiques d'émotions et de sentiments sur l'analyse des sentiments Application à des critiques de livres. CORIA-EARIA 2019, Mar 2019, Villeurbanne, France. ⟨hal-02448203⟩

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