Sentiment Analysis of Spanish Tweets Using a Ranking Algorithm and Skipgrams

  1. Javi Fernández 1
  2. Yoan Gutiérrez 1
  3. José M. Gómez 1
  4. Patricio Martínez-Barco 1
  5. Andrés Montoyo 1
  6. Rafael Muñoz 1
  1. 1 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

Liburua:
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.)

Argitaletxea: Sociedad Española para el Procesamiento del Lenguaje Natural

ISBN: 978-84-695-8349-4

Argitalpen urtea: 2013

Orrialdeak: 133-142

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

Mota: Biltzar ekarpena

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Laburpena

In this paper, we present our contribution for the Task 1 (6 levels polarity classification) of the TASS 2013 competition. This contribution consists on two different approaches: a modified version of a ranking algorithm (RA-SR) using bigrams, and new proposal using a skipgrams scorer. These approaches create sentiment lexicons able to retain the context of the terms. All our approaches appear in the top 10 best results of the systems presented to the competition, and the combination of them reaches the first position.

Datuen iturria: Dialnet