Home ›
Entities
› academia
› Leveraging social media data using latent dirichlet allocation and naïve bayes for mental health sentiment analytics on Covid-19 pandemic
Leveraging social media data using latent dirichlet allocation and naïve bayes for mental health sentiment analytics on Covid-19 pandemic
Research article (International Journal of Advances in Intelligent Informatics, 2023) · cited 10× · AI/ML
Leveraging social media data using latent dirichlet allocation and naïve bayes for mental health sentiment analytics on Covid-19 pandemic
Summary
Leveraging social media data using latent dirichlet allocation and naïve bayes for mental health sentiment analytics on Covid-19 pandemic is a scholarly article[1].
Key Facts
Leveraging social media data using latent dirichlet allocation and naïve bayes for mental health sentiment analytics on Covid-19 pandemic's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Leveraging social media data using latent dirichlet allocation and naïve bayes for mental health sentiment analytics on Covid-19 pandemic. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-social-media-data-using-latent-dirichlet-allocation-and-naive-bayes-for-mental-health-sentiment-analytics-on-
MLA“Leveraging social media data using latent dirichlet allocation and naïve bayes for mental health sentiment analytics on Covid-19 pandemic.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-social-media-data-using-latent-dirichlet-allocation-and-naive-bayes-for-mental-health-sentiment-analytics-on-.
BibTeX@misc{4ortxyz_leveraging-social-media-data-using-latent-dirichlet-allocation-and-naive-bayes-for-mental-health-sentiment-analytics-on-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging social media data using latent dirichlet allocation and naïve bayes for mental health sentiment analytics on Covid-19 pandemic}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-social-media-data-using-latent-dirichlet-allocation-and-naive-bayes-for-mental-health-sentiment-analytics-on-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging social media data using latent dirichlet allocation and naïve bayes for mental health sentiment analytics on Covid-19 pandemic — https://4ort.xyz/entity/leveraging-social-media-data-using-latent-dirichlet-allocation-and-naive-bayes-for-mental-health-sentiment-analytics-on- (retrieved 2026-05-24)
