Twitter Sentiment Analysis Using Deep Convolutional Neural NetworkIn the work presented in this paper, we conduct experiments on sentiment analysis in Twitter messages by using a deep convolutional neural network. The network is trained on top of pre-trained word embeddings obtained by unsupervised learning on large text corpora. We use CNN with multiple filters with varying window sizes on top of which we add 2 fully connected layers with dropout and a softmax
Deep Learning of Knowledge Graph Embeddings for Semantic Parsing of Twitter Dialogs - Microsoft Research
