Identificación del cinismo del consumidor para reseñas en español utilizando un modelo de transformador español

Translated title of the contribution: Consumer cynicism identification for spanish reviews using a Spanish transformer model

Samuel González-López, Steven Bethard, Francisca Cecilia Encinas Orozco, Adrián Pastor López-Monroy

Research output: Contribution to journalArticlepeer-review

Abstract

Companies pay close attention to how consumers react on social media to their products or services. Our work focuses on the identification of Consumer Cynicism, defined as a negative attitude that can have a broad or specific focus and comprises cognitive, affective, and behavioral components. We create a corpus of 619 Spanish-language comments on YouTube car reviews, annotated for four cynicism constructs: Dissatisfaction, Alienation, Skepticism, and Hostility. We compare different classification formulations (binary vs. multi-label) and different pre-trained models (Spanish BETO vs. multilingual BERT). We find binary classifiers derived from BETO consistently outperform multi-label classifiers and classifiers derived from BERT. Our best models achieve F1 of 0.83 for Dissatisfaction, 0.77 for Hostility, 0.71 for Skepticism and 0.70 for Alienation.

Translated title of the contributionConsumer cynicism identification for spanish reviews using a Spanish transformer model
Original languageSpanish
Pages (from-to)111-120
Number of pages10
JournalProcesamiento de Lenguaje Natural
Volume66
DOIs
StatePublished - Mar 1 2021

Keywords

  • Binary classification model
  • Consumer Cynicism
  • Multi-label model
  • Social media

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language
  • Computer Science Applications

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