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Subowo et al., 2024 - Google Patents

Using 2024 election twitter data, sentiment analysis based on TF-IDF and Naïve Bayes

Subowo et al., 2024

View PDF
Document ID
2850471439047188100
Author
Subowo M
Alzami F
Publication year
Publication venue
Moneter: Jurnal Keuangan dan Perbankan

External Links

Snippet

This research explores sentiment analysis within the context of the 2024 Presidential Election, utilizing tweet data to understand public opinion dynamics. The study employs the Naive Bayes classification algorithm combined with Term Frequency-Inverse Document …
Continue reading at ejournal2.uika-bogor.ac.id (PDF) (other versions)

Classifications

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