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Advancing sentiment analysis for low-resourced african languages using pre-trained language models

Overview of attention for article published in PLOS ONE, June 2025
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51 Mendeley
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Article details
Title
Advancing sentiment analysis for low-resourced african languages using pre-trained language models
Published in
PLOS ONE, June 2025
DOI 10.1371/journal.pone.0325102
Pubmed ID
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Unspecified 11 22%
Student > Ph. D. Student 4 8%
Professor 2 4%
Student > Master 2 4%
Lecturer > Senior Lecturer 1 2%
Other 4 8%
Unknown 27 53%
Readers by discipline
Readers by discipline Count As %
Unspecified 11 22%
Computer Science 11 22%
Environmental Science 1 2%
Linguistics 1 2%
Engineering 1 2%
Other 0 0%
Unknown 26 51%