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

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 score
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/842433
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