Author: Chen Zhiyan This article is about 3000 words, recommended reading time is 7 minutes. This article introduces the use of the BERT model to automatically classify, filter, and summarize a large amount of COVID-19 information on Twitter. Twitter has always been an important source of news, and during the COVID-19 pandemic, the public can … Read more
Big Data Digest authorized repost from Data Party THU Author: Chen Zhiyan Twitter has always been an important source of news, and during the COVID-19 pandemic, the public has been able to express their anxieties on Twitter. However, manually classifying, filtering, and summarizing the massive amount of COVID-19 information on Twitter is nearly impossible. This … Read more
✦ Deep Learning Soup Group Literature Review Study – Article 102 ✦ Machine Learning-Based COVID-19 Mortality Prediction Model and Identification of Patients at Low and High Risk of Dying Deep Learning Soup Group April 11, 2023 Since 2021, Mohammad M. Banoei and others from the University of Calgary have developed a machine learning algorithm to … Read more