EmoNet: Deep Attentional Recurrent CNN for X (Formerly Twitter) Emotion Classification
Emotion classification from social media data is critical for market research, sentiment analysis, and understanding human behavior, yet the unstructured nature of Twitter data poses significant challenges for conventional models. To overcome these challenges, we propose EmoNet, a novel Deep Attenti...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10904242/ |
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