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 ...

Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...

Welcome to this little text preprocessing project! In this exercise, you will be working on cleaning up a text file containing text mistakes (for example OCR-errors) using Regular Expressions. The ...

Text Blaze is a digital tool designed to make life easier by saving time. While this was built for business, it's also tailored to use in education with a plan to save teachers on admin task time so ...

Abstract: Text preprocessing is a key step in Natural Language Processing (NLP) that deals with the cleaning, tokenization and structure of text before building models. A comparison of the recent ...

This request was rejected before here (#1523) because preprocessing the image is not useful for OCR accuracy anymore. I agree with this. However preprocessing can still be beneficial for image ...