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A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises
Research article (BMC Public Health, 2023) · cited 20× · AI/ML
A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises
Summary
A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises is a scholarly article[1].
Key Facts
A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises's instance of is recorded as scholarly article[2].
References
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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). A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-case-study-of-using-natural-language-processing-to-extract-consumer-insights-from-tweets-in-american-cities-for-public
MLA“A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-case-study-of-using-natural-language-processing-to-extract-consumer-insights-from-tweets-in-american-cities-for-public.
BibTeX@misc{4ortxyz_a-case-study-of-using-natural-language-processing-to-extract-consumer-insights-from-tweets-in-american-cities-for-public_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises}}, year = {2026}, url = {https://4ort.xyz/entity/a-case-study-of-using-natural-language-processing-to-extract-consumer-insights-from-tweets-in-american-cities-for-public}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises — https://4ort.xyz/entity/a-case-study-of-using-natural-language-processing-to-extract-consumer-insights-from-tweets-in-american-cities-for-public (retrieved 2026-05-24)
