Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Abstract: Text classification remains a fundamental challenge in natural language processing (NLP), with performance often limited by the reliance on either traditional linguistic features or semantic ...
In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...
Abstract: In linguistic steganalysis (LS), the fundamental requirement is to detect steganographic text (stego) effectively, and existing LS methods have shown excellent detection performance even in ...
Memos are an opportunity to explore one’s own interests, think critically, and reflect on the broader implications of the technology we study. This week, you will explore the week’s topic "Text ...
ABSTRACT: This paper investigates the role of tag questions in expressing stance within British university seminars. Building on Kimps’s (2018) classification of stance-conveying tag questions, this ...
This is my MSc Project at Queen Mary University of London. The purpose of this implementation is to utilise multiple APIs in order to collate a dataset that can be used to classify sentences or ...
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