Participación de SINAI Word2Vec en TASS 2014

  1. A. Montejo-Ráez 1
  2. M.A. García-Cumbreras 1
  3. M.C. Díaz-Galiano 1
  1. 1 Universidad de Jaén
    info

    Universidad de Jaén

    Jaén, España

    ROR https://ror.org/0122p5f64

Book:
TASS 2014 - Workshop on Sentiment Analysis at SEPLN: Workshop proceedings : XXX Congreso de la Sociedad Española de Procesamiento de Lenguaje Natural SEPLN 2014

Publisher: Sociedad Española para el Procesamiento del Lenguaje Natural

Year of publication: 2014

Congress: Sociedad Española para el Procesamiento del Lenguaje Natural. Congreso (30. 2014. Girona)

Type: Conference paper

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Abstract

In this paper it is described the participation of the SINAI-word2vec team at the task 1 on polarity classification of the TASS 2014 workshop. Our system uses supervised learning with SVM over the summatory of word vectors in a model generated from the Spanish Wikipedia. Our solution does not follow the vector space model, nor lexical or syntactic analysis is applied. Just considering each word independently represented in a 200-dimensional space of a Word2Vec model, it is possible to capture the semantics of a tweet and report good results in polarity classification.

Data source: Dialnet