Design and Efficacy of a Data Lake Architecture for Multimodal Emotion Feature Extraction in Social...
Design and Efficacy of a Data Lake Architecture for Multimodal Emotion Feature Extraction in Social Media
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Hindawi
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English
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Hindawi
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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 posed by diverse data types. The proposed framework...
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Design and Efficacy of a Data Lake Architecture for Multimodal Emotion Feature Extraction in Social Media
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TN_cdi_doaj_primary_oai_doaj_org_article_368fbb2b207046d59d846a8780fc895c
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_368fbb2b207046d59d846a8780fc895c
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ISSN
1751-8806
E-ISSN
1751-8814
DOI
10.1049/2024/6819714
