The paper describes our sub-mission to the task 2 of SENTIment POLarity Classification in Italian Tweets at Evalita 2016. Our approach is based on a convolutional neural network that exploits both word embeddings and Senti-ment Specific word embeddings. We also experimented a model trained with a distant supervised corpus. Our submission with Sentiment Specific word embed-dings achieved the first official score
Convolutional Neural Networks for Sentiment Analysis on Italian Tweets
ATTARDI, GIUSEPPE;SARTIANO, DANIELE;
2016-01-01
Abstract
The paper describes our sub-mission to the task 2 of SENTIment POLarity Classification in Italian Tweets at Evalita 2016. Our approach is based on a convolutional neural network that exploits both word embeddings and Senti-ment Specific word embeddings. We also experimented a model trained with a distant supervised corpus. Our submission with Sentiment Specific word embed-dings achieved the first official scoreFile in questo prodotto:
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