New Approach to Infer Image Content from Social Media User’s Posts: Based on Fine-Tuning Multimodal AI Model

Feriel Gammoudi, Salma Namouri, Mohamed Nazih Omri


Anthology ID:
2024.paclic-1.82
Volume:
Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2024
Address:
Tokyo, Japan
Editors:
Nathaniel Oco, Shirley N. Dita, Ariane Macalinga Borlongan, Jong-Bok Kim
Venue:
PACLIC
SIG:
Publisher:
Tokyo University of Foreign Studies
Note:
Pages:
853–860
Language:
URL:
https://preview.aclanthology.org/fix-sig-urls/2024.paclic-1.82/
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Bibkey:
Cite (ACL):
Feriel Gammoudi, Salma Namouri, and Mohamed Nazih Omri. 2024. New Approach to Infer Image Content from Social Media User’s Posts: Based on Fine-Tuning Multimodal AI Model. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, pages 853–860, Tokyo, Japan. Tokyo University of Foreign Studies.
Cite (Informal):
New Approach to Infer Image Content from Social Media User’s Posts: Based on Fine-Tuning Multimodal AI Model (Gammoudi et al., PACLIC 2024)
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PDF:
https://preview.aclanthology.org/fix-sig-urls/2024.paclic-1.82.pdf