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About IEEEJV - 82emotion Recognition On Twitter Comparative Study and Training A Unison Model PDF
This article compares different machine learning models for emotion recognition on Twitter texts, including bag-of-words models and deep learning models. It finds that recurrent neural networks, especially character-based ones, outperform bag-of-words models. While the representations learned from different emotion classifications are not very transferable, training a single "unison" model to jointly predict emotions across three classifications achieves performance comparable to individual models for each classification.
Detailed Information
| Author: | ['mir raza'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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