COVID-19 Fake News Detection Using Joint Doc2Vec and Text Features with PCA-Reference-Cited by-同舟云学术

COVID-19 Fake News Detection Using Joint Doc2Vec and Text Features with PCA

Published:2022 Issue: Volume: Page:316-330
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Mejia Hector^ORCID,Chipantiza Carlos^ORCID,Llumiquinga Jose^ORCID,Amaro Isidro R.^ORCID,Fonseca-Delgado Rigoberto^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-20319-0_24

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5. De Magistris, G., Russo, S., Roma, P., Starczewski, J.T., Napoli, C.: An explainable fake news detector based on named entity recognition and stance classification applied to covid-19. Information 13(3) (2022). https://doi.org/10.3390/info13030137, https://www.mdpi.com/2078-2489/13/3/137

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1. Document Information Retrieval with Deep Learning;2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE);2024-05-16