RETUYT in TASS 2017: Sentiment Analysis for Spanish Tweets using SVM and CNN
This work addresses sentiment analysis for Spanish tweets, but it appears incremental as it applies existing methods (SVM and CNN) to a specific dataset without introducing new paradigms.
The authors tackled sentiment analysis for Spanish tweets in the TASS 2017 challenge by developing classifiers based on SVM and CNN, with the best performance achieved through a combination of these methods, though no concrete numbers are provided.
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.