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Hybrid SE-FAISS: A Novel Semantic Embedding with Facebook Artificial Intelligence Similarity Search-Based Deep Learning Framework for Similar Text Detection
Research Article - Volume: 1, Issue: 1, 2026(June)
Hybrid SE-FAISS: A Novel Semantic Embedding with Facebook Artificial Intelligence Similarity Search-Based Deep Learning Framework for Similar Text Detection Download PDF
*Correspondence to: , R&D Department, Probel Yazılım ve Bilişim Sistemleri A.Ş., Izmir, Turkey, E-Mail:
Received: May 04, 2026; Manuscript No: ; Editor Assigned: May 07, 2026; PreQc No: (PQ); Reviewed: May 18, 2026; Revised: May 25, 2026; Manuscript No: (R); Published: June 17, 2026

Citation: Ghasemkhani B, Ozdemir A, Ekinci M, Kilinc D (2026). Hybrid SE-FAISS: A Novel Semantic Embedding with Facebook Artificial Intelligence Similarity Search-Based Deep Learning Framework for Similar Text Detection. J. Artif. Intell. Digit. Health. Vol.1 Iss.1, June (2026), pp:46-58.
Copyright: © 2026 . This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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