Long COVID has debilitating effects but is inconsistently diagnosed because of subjective criteria, limited treatments, and variations in health care access. We analyzed electronic health records from ...
Abstract: Text classification (TC) has gained substantial importance across diverse domains due to the increasing proliferation of internet-based and digital technologies. Organizations worldwide ...
Microsoft has introduced an option to extract text from images with Snipping Tool. The feature will be available to all soon. The tool now ships with OCR (Optical Character Recognition) technology ...
Director of Content @ISNation & HackerNoon's Editorial Ambassador by day, VR Gamer and Anime Binger by night. Natural language processing (NLP) is one of the biggest fields of AI development. Numerous ...
NLP - Text Classification - Smart App is a full-stack web application that enables users to upload documents, classify them into predefined categories using a pre-trained machine learning model, and ...
Introduced in Ein-dor et al. (2020), this is a framework for experimenting with text classification tasks. The focus is on low-resource scenarios, and examining how active learning (AL) can be used in ...
ABSTRACT: To promote behavioral change among adolescents in Zambia, the National HIV/AIDS/STI/TB Council, in collaboration with UNICEF, developed the Zambia U-Report platform. This platform provides ...
Abstract: Attention mechanisms are now a mainstay architecture in neural networks and improve the performance of biomedical text classification tasks. In particular, models that perform automated ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results