Abstract: This study investigates the potential of large language models (LLMs) to leverage their extensive pre-trained knowledge for conducting affect classification using ambulatory data collected ...
Abstract: This paper presents a practical approach to developing a word classification algorithm with part of speech tagging for Turkic languages. These languages are agglutinative and produce many ...
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