Recurrent Convolutional Neural Network with Attention for Twitter and Yelp Sentiment Classification
| Autor: | Shuang Wen, Jian Li |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Structure (mathematical logic)
business.industry Computer science 020206 networking & telecommunications Pattern recognition 02 engineering and technology Convolutional neural network Visualization Recurrent neural network Arc model 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence. |
| Popis: | This paper proposes a combination structure of Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN) for sentiment classification. Our model has two distinct characteristics: (1) Owing to the characteristics of the combination structure, our model can extract n_gram features with bidirectional time series. (2) Our model utilizes the attention mechanism to effectively capture important emotional content. Experiments conducted on two public datasets twitter and yelp. We evaluate the two aspects of this paper and shows that our model has a significant performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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