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Fake News Detection on Reddit Utilising CountVectorizer and Term Frequency-Inverse Document Frequency with Logistic Regression, MultinominalNB and Support Vector Machine
Research article (2021 32nd Irish Signals and Systems Conference (ISSC), 2021) · cited 28× · AI/ML
Fake News Detection on Reddit Utilising CountVectorizer and Term Frequency-Inverse Document Frequency with Logistic Regression, MultinominalNB and Support Vector Machine
Summary
Fake News Detection on Reddit Utilising CountVectorizer and Term Frequency-Inverse Document Frequency with Logistic Regression, MultinominalNB and Support Vector Machine is a scholarly article[1].
Key Facts
Fake News Detection on Reddit Utilising CountVectorizer and Term Frequency-Inverse Document Frequency with Logistic Regression, MultinominalNB and Support Vector Machine'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). Fake News Detection on Reddit Utilising CountVectorizer and Term Frequency-Inverse Document Frequency with Logistic Regression, MultinominalNB and Support Vector Machine. Retrieved May 24, 2026, from https://4ort.xyz/entity/fake-news-detection-on-reddit-utilising-countvectorizer-and-term-frequency-inverse-document-frequency-with-logistic-regr
MLA“Fake News Detection on Reddit Utilising CountVectorizer and Term Frequency-Inverse Document Frequency with Logistic Regression, MultinominalNB and Support Vector Machine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fake-news-detection-on-reddit-utilising-countvectorizer-and-term-frequency-inverse-document-frequency-with-logistic-regr.
BibTeX@misc{4ortxyz_fake-news-detection-on-reddit-utilising-countvectorizer-and-term-frequency-inverse-document-frequency-with-logistic-regr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fake News Detection on Reddit Utilising CountVectorizer and Term Frequency-Inverse Document Frequency with Logistic Regression, MultinominalNB and Support Vector Machine}}, year = {2026}, url = {https://4ort.xyz/entity/fake-news-detection-on-reddit-utilising-countvectorizer-and-term-frequency-inverse-document-frequency-with-logistic-regr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fake News Detection on Reddit Utilising CountVectorizer and Term Frequency-Inverse Document Frequency with Logistic Regression, MultinominalNB and Support Vector Machine — https://4ort.xyz/entity/fake-news-detection-on-reddit-utilising-countvectorizer-and-term-frequency-inverse-document-frequency-with-logistic-regr (retrieved 2026-05-24)
