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 this tutorial, we present a complete end-to-end Natural Language Processing (NLP) pipeline built with Gensim and supporting libraries, designed to run seamlessly in Google Colab. It integrates ...
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 ...
1 School of Media & Communication Shanghai Jiao Tong University, Shanghai, China 2 Department of Critical Care Medicine, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China Objective: This study ...
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 ...
Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback