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Learning Longer Memory in Recurrent Neural Networks
Tomas Mikolov, Armand Joulin, Sumit Chopra +2
Recurrent neural network is a powerful model that learns temporal patterns in sequential data. For a long time, it was believed that recurrent networks are difficult to train using…
Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews
Grégoire Mesnil, Tomas Mikolov, Marc'Aurelio Ranzato +1
Sentiment analysis is a common task in natural language processing that aims to detect polarity of a text document (typically a consumer review). In the simplest settings, we discr…
Distributed Representations of Sentences and Documents
Quoc V. Le, Tomas Mikolov
Many machine learning algorithms require the input to be represented as a fixed-length feature vector. When it comes to texts, one of the most common fixed-length features is bag-o…