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Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election
Research article (Journal of Internet Services and Applications, 2018) · cited 64× · AI/ML
Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election
Summary
Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election is a scholarly article[1].
Key Facts
Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election'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). Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-sentiment-analysis-to-define-twitter-political-users-classes-and-their-homophily-during-the-2016-american-presiden
MLA“Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-sentiment-analysis-to-define-twitter-political-users-classes-and-their-homophily-during-the-2016-american-presiden.
BibTeX@misc{4ortxyz_using-sentiment-analysis-to-define-twitter-political-users-classes-and-their-homophily-during-the-2016-american-presiden_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election}}, year = {2026}, url = {https://4ort.xyz/entity/using-sentiment-analysis-to-define-twitter-political-users-classes-and-their-homophily-during-the-2016-american-presiden}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election — https://4ort.xyz/entity/using-sentiment-analysis-to-define-twitter-political-users-classes-and-their-homophily-during-the-2016-american-presiden (retrieved 2026-05-24)
