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n-Gram based language processing using Twitter dataset to identify COVID-19 patients

Research article (Sustainable Cities and Society, 2021) · cited 33× · AI/ML
academia openalex:W3164920349
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n-Gram based language processing using Twitter dataset to identify COVID-19 patients

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n-Gram based language processing using Twitter dataset to identify COVID-19 patients is a scholarly article[1].

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  • n-Gram based language processing using Twitter dataset to identify COVID-19 patients's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). n-Gram based language processing using Twitter dataset to identify COVID-19 patients. Retrieved May 24, 2026, from https://4ort.xyz/entity/n-gram-based-language-processing-using-twitter-dataset-to-identify-covid-19-patients
MLA “n-Gram based language processing using Twitter dataset to identify COVID-19 patients.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/n-gram-based-language-processing-using-twitter-dataset-to-identify-covid-19-patients.
BibTeX @misc{4ortxyz_n-gram-based-language-processing-using-twitter-dataset-to-identify-covid-19-patients_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{n-Gram based language processing using Twitter dataset to identify COVID-19 patients}}, year = {2026}, url = {https://4ort.xyz/entity/n-gram-based-language-processing-using-twitter-dataset-to-identify-covid-19-patients}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): n-Gram based language processing using Twitter dataset to identify COVID-19 patients — https://4ort.xyz/entity/n-gram-based-language-processing-using-twitter-dataset-to-identify-covid-19-patients (retrieved 2026-05-24)

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