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Evaluating Pre-trained Word Embeddings and Neural Network Architectures for Sentiment Analysis in Spanish Financial Tweets
Evaluating Pre-trained Word Embeddings and Neural Network Architectures for Sentiment Analysis in Spanish Financial Tweets
J. García-Díaz,Óscar Apolinario-Arzube,R. Valencia-García
2020 · DOI: 10.1007/978-3-030-60887-3_15
Mexican International Conference on Artificial Intelligence · 2 citas
TLDR
The results indicate that the fastText model, trained with the Spanish Unannoted Corpora and in conjunction with linguistic features, achieved the best accuracy of 58.036% using a Gated Recurrent Unit.