NLP4SMNatural Language Processing for social media

  1. Gonzalo Medina Medina 1
  2. Jose Camacho Collados 2
  3. Eugenio Martínez Cámara 1
  1. 1 Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Spain
  2. 2 2School of Computer Science and Informatics, Cardiff University, United Kingdom
Libro:
SEPLN-PD 2022: Annual Conference of the Spanish Association for Natural Language Processing 2022: Projects and Demonstrations
  1. Miguel A. Alonso (ed. lit.)
  2. Margarita Alonso-Ramos (ed. lit.)
  3. Carlos Gómez-Rodríguez (ed. lit.)
  4. David Vilares (ed. lit.)
  5. Jesús Vilares (ed. lit.)

Editorial: CEUR Workshop Proceedings

Año de publicación: 2022

Páginas: 66-69

Tipo: Capítulo de Libro

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Resumen

NLP4SM is a website for the execution, analysis and comparison of tweet classification methods based onlanguage models. Currently, NLP4SM supports the text classification tasks considered in TweetEval, but itaims at integrating additional text clasification tasks and to wider the number of language models availablewith the goal of becoming to a benchmark platform for assessing text classification methods with real datafrom social media.

Fuente de los datos: Dialnet