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.
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
PUBLICATION RECORD
- Publication year
2017
- Venue
arXiv.org
- Publication date
2017-10-17
- Fields of study
Linguistics, Computer Science
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-20 of 20 references · Page 1 of 1
CITED BY
Showing 1-7 of 7 citing papers · Page 1 of 1