EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant Tweets

9 June 2020

Papers citing "EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant Tweets"

6 / 6 papers shown

Title
COVID-19 Image Data Collection: Prospective Predictions Are the Future Joseph Paul Cohen Paul Morrison Lan Dao Karsten Roth T. Duong Marzyeh Ghassemi 52 779 0 22 Jun 2020
CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding Junhua Liu Trisha Singhal L. Blessing Kristin L. Wood Kwan Hui Lim 30 68 0 11 May 2020
COVID-CT-Dataset: A CT Scan Dataset about COVID-19 Xingyi Yang Xuehai He Jinyu Zhao Yichen Zhang Shanghang Zhang P. Xie 76 846 0 30 Mar 2020
IPOD: An Industrial and Professional Occupations Dataset and its Applications to Occupational Data Mining and Analysis Junhua Liu Yung Chuen Ng Kristin L. Wood Kwan Hui Lim 45 6 0 22 Oct 2019
Fake News Detection on Social Media: A Data Mining Perspective Kai Shu A. Sliva Suhang Wang Jiliang Tang Huan Liu GNN EgoV 79 2,776 0 07 Aug 2017
Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages Muhammad Imran P. Mitra Carlos Castillo 34 321 0 19 May 2016