Detecting and analyzing topics of massive COVID-19 related tweets for various countries

Author:

Azizi Faezeh,Hajiabadi Hamideh,Vahdat-Nejad HamedORCID,Khosravi Mohammad Hossein

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference25 articles.

1. Zika discourse in the Americas: a multilingual topic analysis of twitter;Pruss;PLoS One,2019

2. Evaluation of hybrid unsupervised and supervised machine learning approach to detect self-reporting of COVID-19 symptoms on twitter;Cai,2021

3. Analyzing the Impact of COVID-19 on economy from the perspective of user's reviews;Salmani,2021

4. Topic models;Blei,2009

5. Enhancing seasonal influenza surveillance: topic analysis of widely used medicinal drugs using twitter data;Kagashe;J Med Internet Res,2017

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