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10.1007/s13278-021-00737-z http://scihub22266oqcxt.onion/10.1007/s13278-021-00737-z 33758630!7976692!33758630     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Soc+Netw+Anal+Min 2021 ; 11 (1): 33 Nephropedia Template TP {{tp|p=33758630|t=2021. Sentiment analysis on the impact of coronavirus in social life using the BERT model |pdf=|usr=}}{{33758630}} gab.com Text Sentiment analysis on the impact of coronavirus in social life using the BERT model JO: Soc Netw Anal Min http://www.kidney.de/pget.php?&tw=1&pmid=33758630 #FOAvip Nowadays, the whole world is confronting an infectious disease called the coronavirus. No country remained untouched during this pandemic situation. Due to no exact treatment available, the disease has become a matter of seriousness for both the government and the public. As social distance is considered the most effective way to stay away from this disease. Therefore, to address the people eagerness about the Corona pandemic and to express their views, the trend of people has moved very fast towards social media. Twitter has emerged as one of the most popular platforms among those social media platforms. By studying the same eagerness and opinions of people to understand their mental state, we have done sentiment analysis using the BERT model on tweets. In this paper, we perform a sentiment analysis on two data sets; one data set is collected by tweets made by people from all over the world, and the other data set contains the tweets made by people of India. We have validated the accuracy of the emotion classification from the GitHub repository. The experimental results show that the validation accuracy is approximately 94%. Twit Text FOAVip Sentiment analysis on the impact of coronavirus in social life using the BERT model ????Soc Netw Anal Min http://www.kidney.de/pget.php?&tw=1&pmid=33758630 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33758630 #FOAvip English Wikipedia <ref>{{Cite pmid|33758630}}</ref> Sentiment analysis on the impact of coronavirus in social life using the BERT model #MMPMID33758630 Singh M; Jakhar AK; Pandey S Soc Netw Anal Min 2021[]; 11 (1): 33 PMID33758630show ga Nowadays, the whole world is confronting an infectious disease called the coronavirus. No country remained untouched during this pandemic situation. Due to no exact treatment available, the disease has become a matter of seriousness for both the government and the public. As social distance is considered the most effective way to stay away from this disease. Therefore, to address the people eagerness about the Corona pandemic and to express their views, the trend of people has moved very fast towards social media. Twitter has emerged as one of the most popular platforms among those social media platforms. By studying the same eagerness and opinions of people to understand their mental state, we have done sentiment analysis using the BERT model on tweets. In this paper, we perform a sentiment analysis on two data sets; one data set is collected by tweets made by people from all over the world, and the other data set contains the tweets made by people of India. We have validated the accuracy of the emotion classification from the GitHub repository. The experimental results show that the validation accuracy is approximately 94%. äSentiment analysis on the impact of coronavirus in social life using t(epmc).pdf DeepDyve Pubget Overpricing