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GitHub / gaizkiaadeline / Clustering-and-Topic-Extraction-of-Twitter-X-Responses-to-BSI-s-2023-Ransomware-Attack

A project analyzing user tweets about the 2023 BSI ransomware attack using clustering and topic extraction methods. Persona analysis is performed on both approaches, with a comparison of the results to extract key insights.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gaizkiaadeline%2FClustering-and-Topic-Extraction-of-Twitter-X-Responses-to-BSI-s-2023-Ransomware-Attack
PURL: pkg:github/gaizkiaadeline/Clustering-and-Topic-Extraction-of-Twitter-X-Responses-to-BSI-s-2023-Ransomware-Attack

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 752 KB
Dependencies parsed at: Pending

Created at: 10 months ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 3 months ago

Topics: cluster-analysis, lda, mining, nltk, text, topic-extraction, topic-modeling

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