Papers with Deep convolutional neural networks

1 papers
A Helping Hand: Transfer Learning for Deep Sentiment Analysis (P18-1)

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Challenge: Existing deep neural models for sentiment polarity classification require large amounts of training data.
Approach: They propose to feed generic cues into the training process of deep convolutional neural networks for sentiment analysis.
Outcome: The proposed approach improves sentiment polarity classification on a range of datasets in seven languages.

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