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10.1002/pra2.349 http://scihub22266oqcxt.onion/10.1002/pra2.349 33173823!7645929!33173823     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Proc+Assoc+Inf+Sci+Technol 2020 ; 57 (1): e349 Nephropedia Template TP {{tp|p=33173823|t=2020. Social media and COVID-19: Characterizing anti-quarantine comments on Twitter |pdf=|usr=}}{{33173823}} gab.com Text Social media and COVID-19: Characterizing anti-quarantine comments on Twitter JO: Proc Assoc Inf Sci Technol http://www.kidney.de/pget.php?&tw=1&pmid=33173823 #FOAvip Social media has become a mainstream channel of communication during the COVID-19 pandemic. While some studies have been developed on investigating public opinion on social media data regarding COVID-19 pandemic, there is no study analyzing anti-quarantine comments on social media. This study has collected and analyzed near 80,000 tweets to understand anti-quarantine social comments. Using text mining, we found 11 topics representing different issues such as comparing COVID-19 and flu and health side effects of quarantine. We believe that this study shines a light on public opinion of people who are against quarantine. Twit Text FOAVip Social media and COVID-19: Characterizing anti-quarantine comments on Twitter ????Proc Assoc Inf Sci Technol http://www.kidney.de/pget.php?&tw=1&pmid=33173823 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33173823 #FOAvip English Wikipedia <ref>{{Cite pmid|33173823}}</ref> Social media and COVID-19: Characterizing anti-quarantine comments on Twitter #MMPMID33173823 Karami A; Anderson M Proc Assoc Inf Sci Technol 2020[]; 57 (1): e349 PMID33173823show ga Social media has become a mainstream channel of communication during the COVID-19 pandemic. While some studies have been developed on investigating public opinion on social media data regarding COVID-19 pandemic, there is no study analyzing anti-quarantine comments on social media. This study has collected and analyzed near 80,000 tweets to understand anti-quarantine social comments. Using text mining, we found 11 topics representing different issues such as comparing COVID-19 and flu and health side effects of quarantine. We believe that this study shines a light on public opinion of people who are against quarantine. äSocial media and COVID-19: Characterizing anti-quarantine comments on (epmc).pdf DeepDyve Pubget Overpricing