Análisis lingüístico de expresiones negativas en tweets en español

  1. Esther Villar Rodríguez 1
  2. Ana García Serrano 2
  3. Marta González Rodríguez 1
  1. 1 Tecnalia
    info

    Tecnalia

    Derio, España

  2. 2 Universidad Nacional de Educación a Distancia
    info

    Universidad Nacional de Educación a Distancia

    Madrid, España

    ROR https://ror.org/02msb5n36

Book:
XXIX Congreso de la Sociedad Española de Procesamiento de Lenguaje Natural: SEPLN 2013
  1. Alberto Díaz Esteban (coord.)
  2. Iñaki Alegria Loinaz (coord.)
  3. Julio Villena Román (coord.)

Publisher: Sociedad Española para el Procesamiento del Lenguaje Natural

ISBN: 978-84-695-8349-4

Year of publication: 2013

Pages: 4-11

Congress: Sociedad Española para el Procesamiento del Lenguaje Natural. Congreso (29. 2013. Madrid)

Type: Conference paper

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Abstract

This paper presents the analysis performed on the collection TASS of tweets in Spanish, in order to improve the automatic analysis of the opinion, on the basis of new lexical resources and processes to identify the scope and focus of the negation. As in this collection, in addition to the basic classes, positive, negative, neutral and none, it is taken into account two new classes very positive and very negative, it is also studied in detail the cases involving modifiers affecting (increasing or investing) the opinion of the tweets. Throughout the article, we present representative examples of each process and conclude with examples of open problem not yet reflected in this work relating to the irony, the need for context and inherent subjectivity of the tweets, which hinder the correct or at least agreed analysis of the opinion.

Data source: Dialnet