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10.1002/pra2.370 http://scihub22266oqcxt.onion/10.1002/pra2.370 33173827!7645922!33173827     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Proc+Assoc+Inf+Sci+Technol 2020 ; 57 (1): e370 Nephropedia Template TP {{tp|p=33173827|t=2020. A preliminary investigation of COVID-19 transmission in the United States by incorporating social media sentiments |pdf=|usr=}}{{33173827}} gab.com Text A preliminary investigation of COVID-19 transmission in the United States by incorporating social media sentiments JO: Proc Assoc Inf Sci Technol http://www.kidney.de/pget.php?&tw=1&pmid=33173827 #FOAvip COVID-19 has now become a global pandemic. During the widespread of COVID-19, Twitter, as an online social media platform, has been a preferred channel for interaction and communication. As a result, it provides huge amount of information from which latent signals such as sentiments can be mined for a better understanding of COVID-19 transmission patterns. As a preliminary attempt, we reveal a strongly positive zero-order correlation between sentiments of tweets and COVID-19 confirmed cases in U.S. Considering the unique hierarchical structure of the U.S. government, state governments exert their own power to issue public health policies. Indeed, there are different patterns of correlations between sentiments and COVID-19 confirmed cases, affirming that country-level characteristics suppress that of state-level. Diving deeper into the textual content of COVID-19 related tweets, there manifests a diverse set of topics which in turn lead to dispersed sentiments. Our preliminary investigation paves the way for a finer-grained analysis of the COVID-19 transmission and social media activities by considering varying situations across states and topics. Twit Text FOAVip A preliminary investigation of COVID-19 transmission in the United States by incorporating social media sentiments ????Proc Assoc Inf Sci Technol http://www.kidney.de/pget.php?&tw=1&pmid=33173827 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33173827 #FOAvip English Wikipedia <ref>{{Cite pmid|33173827}}</ref> A preliminary investigation of COVID-19 transmission in the United States by incorporating social media sentiments #MMPMID33173827 Tan T; Huang T; Wang X; Zuo Z Proc Assoc Inf Sci Technol 2020[]; 57 (1): e370 PMID33173827show ga COVID-19 has now become a global pandemic. During the widespread of COVID-19, Twitter, as an online social media platform, has been a preferred channel for interaction and communication. As a result, it provides huge amount of information from which latent signals such as sentiments can be mined for a better understanding of COVID-19 transmission patterns. As a preliminary attempt, we reveal a strongly positive zero-order correlation between sentiments of tweets and COVID-19 confirmed cases in U.S. Considering the unique hierarchical structure of the U.S. government, state governments exert their own power to issue public health policies. Indeed, there are different patterns of correlations between sentiments and COVID-19 confirmed cases, affirming that country-level characteristics suppress that of state-level. Diving deeper into the textual content of COVID-19 related tweets, there manifests a diverse set of topics which in turn lead to dispersed sentiments. Our preliminary investigation paves the way for a finer-grained analysis of the COVID-19 transmission and social media activities by considering varying situations across states and topics. äA preliminary investigation of COVID-19 transmission in the United Sta(epmc).pdf DeepDyve Pubget Overpricing