Papers with lexicon-based features
Fine-Grained Emotion Detection in Health-Related Online Posts (D18-1)
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| Challenge: | Emotion detection from health-related posts is based on a health-specific vocabulary that people use in OHCs. |
| Approach: | They propose to use deep neural networks and lexicon-based features to detect emotions in health-related posts. |
| Outcome: | The proposed method uses high-level and abstract features derived from deep neural networks combined with lexicon-based features to detect emotions. |
How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs (C18-1)
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| Challenge: | Social media based micro-blogging sites like Twitter are used for expressing emotions and opinions. |
| Approach: | They propose to combine convolutional and fully connected layers in a non-sequential manner to train deep multi-task learning models trained for all emotions at once in unified architecture. |
| Outcome: | The proposed model outperforms the previous system by 0.044 or 4.4% on the WASSA’17 EmoInt shared task dataset. |