This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2496) Infodemiology and Infoveillance (1459) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1791) Machine Learning (1742) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1088) Outbreak and Pandemic Preparedness and Management (1781) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1531)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20550, first published .
Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach

Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach

Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach

Authors of this article:

Jia Xue1, 2 Author Orcid Image ;   Junxiang Chen3 Author Orcid Image ;   Ran Hu1 Author Orcid Image ;   Chen Chen4 Author Orcid Image ;   Chengda Zheng2 Author Orcid Image ;   Yue Su5, 6 Author Orcid Image ;   Tingshao Zhu5 Author Orcid Image
Article Authors Cited by (246) Tweetations (16) Metrics
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JMIR Publications JMIR Publications @jmirpub

New in JMIR: #Twitter Discussions and Emotions About the #COVID19 #coronavirus Pandemic: Machine Learning Approach… https://t.co/0aMnOFtgor

3:58 PM · Nov 25, 2020

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Christine K Jacob Christine K Jacob @JacobChristine

RT @jmirpub: New in JMIR: #Twitter Discussions and Emotions About the #COVID19 #coronavirus Pandemic: Machine Learning Approach https://t.c…

4:45 PM · Nov 25, 2020

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Sven Awege Sven Awege @SVENNIECO

Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach https://t.co/qTfpb7P5WB

5:24 PM · Nov 25, 2020

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Machine Learning Bot Machine Learning Bot @ML_Tweet_Bot

RT @SVENNIECO: Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach https://t.co/qTfpb7P5WB

5:24 PM · Nov 25, 2020

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fredbarney fredbarney @yabbadabbadoo99

Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach https://t.co/VyJaeelhco

5:54 PM · Nov 25, 2020

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Machine Learning Bot Machine Learning Bot @ML_Tweet_Bot

RT @yabbadabbadoo99: Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach https://t.co/VyJaeelhco

5:54 PM · Nov 25, 2020

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Shigekazu Ishihara Shigekazu Ishihara @shigekzishihara

RT @jmirpub: New in JMIR: #Twitter Discussions and Emotions About the #COVID19 #coronavirus Pandemic: Machine Learning Approach https://t.c…

11:18 PM · Nov 25, 2020

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#AquíNoEsMediaLuna #AquíNoEsMediaLuna @DraKosmica

Check out this fascinating article https://t.co/dccKo52bwH

9:44 PM · Aug 24, 2021

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#AquíNoEsMediaLuna #AquíNoEsMediaLuna @DraKosmica

Check out this fascinating article https://t.co/dccKo52bwH

9:44 PM · Aug 24, 2021

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Ronita De Ronita De @dronita_de

Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach https://t.co/UAiO2cKMnu ????T… https://t.co/oZvJYkz8Mu

5:18 PM · Nov 28, 2021

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Ronita De Ronita De @dronita_de

Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach https://t.co/UAiO2cKMnu ????T… https://t.co/oZvJYkz8Mu

5:18 PM · Nov 28, 2021

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Aishwarya Nambissan Aishwarya Nambissan @AishLearnsAI

A study about the public discussions and concerns about the COVID-19 pandemic among Twitter users revealed that anticipation for the potential measures that can be taken was the most popular emotion felt. https://t.co/N8R8GU3Nrt

3:25 PM · Aug 15, 2023

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Research Graph Research Graph @researchgraph

RT @AishLearnsAI: A study about the public discussions and concerns about the COVID-19 pandemic among Twitter users revealed that anticipat…

11:43 PM · Aug 15, 2023

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CLUB FM Philadelphia???? CLUB FM Philadelphia???? @clubfmphilly

“After removing non-English tweets, 23,817,948 tweets remained. After removing duplicates and retweets (ie, tweets that only repost the original message without adding any more words), we had 4,196,020 tweets in our final data set.” https://t.co/7EmdbKCJKk https://t.co/WJt8JzWedh

4:24 PM · Jan 20, 2024

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CLUB FM Philadelphia???? CLUB FM Philadelphia???? @clubfmphilly

“We removed the hashtag symbol, @users, and URLs from the tweets in the data set.” https://t.co/7EmdbKCJKk https://t.co/MqPvogyCwM

4:26 PM · Jan 20, 2024

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CLUB FM Philadelphia???? CLUB FM Philadelphia???? @clubfmphilly

RT @clubfmphilly: “After removing non-English tweets, 23,817,948 tweets remained. After removing duplicates and retweets (ie, tweets that o…

4:30 PM · Jan 20, 2024

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CLUB FM Philadelphia???? CLUB FM Philadelphia???? @clubfmphilly

“We collected and downloaded the following features for each tweet: (1) the full text, (2) the numbers of favorites, followers, and followings, (3) users’ geolocation, and (4) users' description/self-created profile.” https://t.co/7EmdbKCJKk https://t.co/0tFHwIfHKQ

4:32 PM · Jan 20, 2024

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