UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification
暂无分享,去创建一个
[1] Lillian Lee,et al. Opinion Mining and Sentiment Analysis , 2008, Found. Trends Inf. Retr..
[2] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[3] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[4] Preslav Nakov,et al. SemEval-2016 Task 4: Sentiment Analysis in Twitter , 2016, *SEMEVAL.
[5] Bing Liu,et al. Sentiment Analysis and Subjectivity , 2010, Handbook of Natural Language Processing.
[6] Alessandro Moschitti,et al. UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification , 2015, *SEMEVAL.
[7] Petr Sojka,et al. Software Framework for Topic Modelling with Large Corpora , 2010 .
[8] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[9] Matt Taddy,et al. Document Classification by Inversion of Distributed Language Representations , 2015, ACL.
[10] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[11] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[12] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.