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X Demographics
Mendeley readers
Title |
Supervised machine learning models for depression sentiment analysis
|
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Published in |
Frontiers in Artificial Intelligence, July 2023
|
DOI | 10.3389/frai.2023.1230649 |
Pubmed ID | |
Authors |
Ibidun Christiana Obagbuwa, Samantha Danster, Onil Colin Chibaya |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 4 | 9% |
Student > Ph. D. Student | 3 | 7% |
Researcher | 2 | 5% |
Student > Bachelor | 1 | 2% |
Student > Master | 1 | 2% |
Other | 0 | 0% |
Unknown | 33 | 75% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 6 | 14% |
Computer Science | 4 | 9% |
Psychology | 2 | 5% |
Nursing and Health Professions | 1 | 2% |
Unknown | 31 | 70% |