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Ajay Khatri

Biographic Data

ID7895414
NAMEAjay Khatri
GIVEN NAMESAjay
FAMILY NAMEKhatri
SIGNATUREKHATRI A
AFFILIATIONSBellurbis Technologies Private Limited, Indore 452001, India
ORCID0000-0002-6393-6952
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Covid-19 Public Opinion

    Open Access•Shweta Agrawal, Sanjiv Jain et al.•ARTICLE•International Journal of…•2022

    The COVID-19 pandemic has shattered the whole world, and due to this, millions of people have posted their sentiments toward the pandemic on different social media platforms. This resulted in a huge information flow on social media and attracted many research studies aimed at extracting useful information to understand the sentiments. This paper analyses data imported from the Twitter API for the healthcare sector, emphasizing sub-domains, such a…

No prominent works on this page.

  • Covid-19 Public Opinion

    Open Access•Shweta Agrawal, Sanjiv Jain et al.•ARTICLE•International Journal of…•2022

    The COVID-19 pandemic has shattered the whole world, and due to this, millions of people have posted their sentiments toward the pandemic on different social media platforms. This resulted in a huge information flow on social media and attracted many research studies aimed at extracting useful information to understand the sentiments. This paper analyses data imported from the Twitter API for the healthcare sector, emphasizing sub-domains, such a…

Artificial Intelligence (1 work) · Computer Science (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · Data science (1 work) · Health care (1 work) · Machine learning (1 work) · Medicine (1 work) · Misinformation and Its Impacts (1 work) · Multinomial logistic regression (1 work) · Naive Bayes classifier (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae