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Porawat Visutsak

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Open access Oct 2026

A Hybrid Framework Combining Stylometric, Semantic, and SBERT Features for AI-Generated Text Detection

The rapid advancement of Large Language Models (LLMs) has greatly improved the ability of artificial intelligence systems to generate human-like text, making AI-generated text detection more challenging. This study introduces a hybrid framework that merges stylometric and semantic features with Sentence-BERT (SBERT) em...

Surapong Wiriya, Porawat Visutsak, Chiranun Kamolsin · 0 citations
Open access Oct 2026

A Multi-Stage Framework Combining Siamese Contrastive Learning and Domain-Adaptive BERT for Thai Lyrics Emotion Classification

A multi-stage deep learning pipeline for emotion classification in Thai song lyrics is proposed by integrating domain-adaptive language modeling and metric learning into a hybrid neural architecture, demonstrating robust, balanced performance across all emotion classes.

Natdanai Maichum, Porawat Visutsak · 0 citations

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