Large-scale, Language-agnostic Discourse Classiﬁcation of Tweets During COVID-19

doi:doi:10.57702/25l699ci

Large-scale, Language-agnostic Discourse Classiﬁcation of Tweets During COVID-19

Large-scale characterization of public discourse themes by categorizing more than 26 million tweets in a supervised manner, i.e., classifying text into semantic categories with machine learning.

Data and Resources

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
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Cite this as

Oguzhan Gencoglu (2024). Dataset: Large-scale, Language-agnostic Discourse Classiﬁcation of Tweets During COVID-19. https://doi.org/10.57702/25l699ci

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.3390/make2040032
Author	Oguzhan Gencoglu
Homepage	https://github.com/ogencoglu/Language-agnostic_BERT_COVID19_Twitter