La #felicidad en Twitter: ¿que representa realmente?

Gemma Bel-Enguix, Helena Gomez-Adorno, Karla Mendoza Grageda, Grigori Sidorov, Juan Vasquez

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

Resumen

There are a number of works that deal with the classification of feelings evoked by various types of documents, from literaty texts to social networks like Twitter. Various classifications can be performed based on the sentiments considered by the author. The goal of this article is to classify a collection of tweets in different contexts in which the word 'happy' or 'happiness' can be used, for example advertising, congratulations or as a simple sarcasm. This will be done using supervised learning systems. Several natural language processing methods such as tokenization, functional word identification, and n-grams will be employed.

Título traducido de la contribución#happiness in Twitter: What does it really represent?
Idioma originalEspañol
Páginas (desde-hasta)3-15
Número de páginas13
PublicaciónLinguamatica
Volumen14
N.º1
DOI
EstadoPublicada - 2022

Palabras clave

  • Happiness
  • Happy
  • Machine Learning
  • Tweet

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