RETUYT in TASS 2017: Sentiment Analysis for Spanish Tweets using SVM and CNN

Aiala Rosá,Luis Chiruzzo,Mathías Etcheverry,Santiago Castro

Published 2017 in arXiv.org

ABSTRACT

This article presents classifiers based on SVM and Convolutional Neural Networks (CNN) for the TASS 2017 challenge on tweets sentiment analysis. The classifier with the best performance in general uses a combination of SVM and CNN. The use of word embeddings was particularly useful for improving the classifiers performance.

PUBLICATION RECORD

  • Publication year

    2017

  • Venue

    arXiv.org

  • Publication date

    2017-10-17

  • Fields of study

    Linguistics, Computer Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

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