Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Automatic Hoax Detection on Social Media Using Deep Learning
Blekinge Institute of Technology, Faculty of Computing.
2021 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2021. , p. 64
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-21184OAI: oai:DiVA.org:bth-21184DiVA, id: diva2:1534943
Subject / course
DV2572 Master´s Thesis in Computer Science
Educational program
DVACS Master of Science Programme in Computer Science
Examiners
Available from: 2021-03-09 Created: 2021-03-06 Last updated: 2021-07-05Bibliographically approved

Open Access in DiVA

Automatic Hoax Detection on Social Media Using Deep Learning...(1987 kB)329 downloads
File information
File name FULLTEXT04.pdfFile size 1987 kBChecksum SHA-512
1811e11498eb2b16bca89e9fd08158a7455a2f9ddb6b07d8f3f1ad81084a12679d2c5fe723a198b5d965e5a1f882bce8b4a8e41579fdbd880e7e78431c565157
Type fulltextMimetype application/pdf

By organisation
Faculty of Computing
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 397 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 126 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf