publication . Part of book or chapter of book . Book . 2017

convolutional neural networks for sentiment analysis on italian tweets

Attardi, Giuseppe; Sartiano, Daniele; Alzetta, Chiara; Semplici, Federica;
Open Access
  • Published: 28 Aug 2017
  • Publisher: Accademia University Press
Abstract
The paper describes our submission 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 Sentiment Specific word embeddings. We also experimented a model trained with a distant supervised corpus. Our submission with Sentiment Specific word embeddings achieved the first official score. L’articolo descrive la nostra partecipazione al task 2 di SENTIment POLarity Classification in Italian Tweets a Evalita 2016. Il nostro approccio si basa su una rete neurale convoluzionale che sfrutta sia word embeddings tradizionali che sentiment specific ...
Subjects
free text keywords: linguistica computazionale, riconoscimento telefonico articolare, annotazione fattualità degli eventi, entità chiamata rEcognition e collegamenti nei tweet italiani, etichettare per messaggi social media, classificazione polarità sentimenti, linguistique computationelle, reconnaissance téléphonique articulatoire, annotation de facturation de l'événement, entité appelée rEcognition et liens dans le tweets italien, étiqueter les messages des médias sociaux, classement polarité sentiments, computational linguistics, articulatory phone recognition, event factuality annotation, named entity rEcognition and linking in italian tweets, tagging for italian social media texts, sentiment polarity classification, Linguistics, LAN009000, CF, Convolutional neural network, Computer science, Sentiment analysis, Natural language processing, computer.software_genre, computer, Artificial intelligence, business.industry, business
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