Causal Modeling of Twitter Activity During COVID-19

16 May 2020

Papers citing "Causal Modeling of Twitter Activity During COVID-19"

11 / 11 papers shown

Title
Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs Catherine Ordun S. Purushotham Edward Raff 22 109 0 06 May 2020
Conspiracy in the Time of Corona: Automatic detection of Covid-19 Conspiracy Theories in Social Media and the News Shadi Shahsavari Pavan Holur Timothy R. Tangherlini V. Roychowdhury 19 77 0 28 Apr 2020
Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach Hamed Jelodar Yongli Wang Rita Orji Shucheng Huang 19 310 0 24 Apr 2020
What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing Irene Li Yixin Li Tianxiao Li Sergio Alvarez-Napagao D. Garcia Toyotaro Suzumura 24 57 0 22 Apr 2020
The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic Viet-An Duong Phu Pham Tongyu Yang Yu Wang Jiebo Luo AI4CE 27 94 0 21 Apr 2020
Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter Philipp Wicke M. Bolognesi 8 230 0 15 Apr 2020
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models Dianbo Liu Leonardo Clemente C. Poirier Xiyu Ding Matteo Chinazzi Jessica T. Davis Alessandro Vespignani Mauricio Santillana OOD AI4CE 15 94 0 08 Apr 2020
A thematic analysis of highly retweeted early COVID -19 tweets: Consensus, information, dissent, and lockdown life M. Thelwall Saheeda Thelwall 9 56 0 06 Apr 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 78 7,386 0 02 Oct 2019
DAGs with NO TEARS: Continuous Optimization for Structure Learning Xun Zheng Bryon Aragam Pradeep Ravikumar Eric Xing NoLa CML OffRL 50 925 0 04 Mar 2018
Large-Sample Learning of Bayesian Networks is NP-Hard D. M. Chickering Christopher Meek David Heckerman BDL 84 792 0 19 Oct 2012