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Comparison of Random Forest and Gradient Boosting Algorithms for Detecting Fake News Articles on Media
Mudunuri, Veera Venkata Subrahmanaya Varma
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
Boppana, Manish Chowdary
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
2022 (English)
Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE credits
Student thesis
Place, publisher, year, edition, pages
2022.
National Category
Engineering and Technology
Identifiers
URN:
urn:nbn:se:bth-23402
OAI: oai:DiVA.org:bth-23402
DiVA, id:
diva2:1679658
Subject / course
DV1478 Bachelor Thesis in Computer Science
Educational program
DVGDT Bachelor Qualification Plan in Computer Science 60.0 hp
Supervisors
Anwar, Mahwish
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
Examiners
Goswami, Prashant
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering. Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
Available from:
2022-07-04
Created:
2022-07-01
Last updated:
2025-09-30
Bibliographically approved
Open Access in DiVA
Comparison of Random Forest and Gradient Boosting algorithms for detecting fake news articles on media
(949 kB)
1896 downloads
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FULLTEXT02.pdf
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949 kB
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ae14af99dd455f728d22ba8cc086341c8ef22f8240549d4a50157715e40a1f01454139436fb524117ab895fa8dafd9835343e8c10261e67f35e37bd3ec1c0f1d
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Department of Computer Science
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Engineering and Technology
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Total: 1898 downloads
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modern-language-association-8th-edition
vancouver
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ieee
modern-language-association-8th-edition
vancouver
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en-GB
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