UniPI at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification
Giuseppe M. Attardi, Daniele Sartiano · 2016
The paper describes our submission to the task on Sentiment Analysis on Twitter at SemEval 2016. The approach is based on a Deep Learning architecture using convolu- tional neural networks. The approach used on- ly word embeddings as features. The submis- sion used embeddings created from a corpus of news articles. We report on further experi- ments using embeddings built for a corpus of tweets as well as sentiment specific word em- beddings obtained by distant supervision.