Abstract: The exponential growth of textual data from news, social media, and other platforms necessitates automated systems for effective organization and categorization. Traditional text ...

The chief complaints, present illness, past medical history and vital signs of the patients from the internal medicine departments of the First Affiliated Hospital and the Second Affiliated Hospital ...

Exploring the Perspectives of Pediatric Health Care Providers, Youth Patients, and Caregivers on Machine Learning Suicide Risk Classification: Mixed Methods Study ...

YouTube Comment Sentiment Analyzer A Streamlit-powered application that analyzes sentiment in YouTube comments using machine learning. It integrates with the YouTube Data API to fetch comments and ...

The Toxic Comments Classifier is a robust machine learning tool implemented in C++ designed to identify toxic comments in digital conversations. Featuring a custom-built multi-layer perceptron (MLP) ...

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning” is reshaping how researchers explore AI, ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China. This study aims to design and implement an efficient news text classification system based on deep learning to ...