Design and Efficacy of a Data Lake Architecture for Multimodal Emotion Feature Extraction in Social Media
In the rapidly evolving landscape of social media, the demand for precise sentiment analysis (SA) on multimodal data has become increasingly pivotal. This paper introduces a sophisticated data lake architecture tailored for efficient multimodal emotion feature extraction, addressing the challenges p...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi-IET
2024-01-01
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| Series: | IET Software |
| Online Access: | http://dx.doi.org/10.1049/2024/6819714 |