Exploring the dominant features of social media for depression detection
Journal article
Hussain, J., Satti, F.A., Afzal, M., Khan, W.A., Bilal, H.S.M., Ansaar, M.Z., Ahmad, H.F., Hur, T., Bang, J., Kim, J.-I., Park, G.H., Seung, H., Lee, S. and Khan, W. Exploring the dominant features of social media for depression detection. Journal of Information Science. https://doi.org/10.1177/0165551519860469
Authors | Hussain, J., Satti, F.A., Afzal, M., Khan, W.A., Bilal, H.S.M., Ansaar, M.Z., Ahmad, H.F., Hur, T., Bang, J., Kim, J.-I., Park, G.H., Seung, H., Lee, S. and Khan, W. |
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Journal | Journal of Information Science |
ISSN | 1741-6485 |
Digital Object Identifier (DOI) | https://doi.org/10.1177/0165551519860469 |
Web address (URL) | http://www.scopus.com/inward/record.url?eid=2-s2.0-85071444992&partnerID=MN8TOARS |
Publication dates | 2020 |
Publication process dates | |
Deposited | 24 Apr 2023 |
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https://repository.derby.ac.uk/item/9y473/exploring-the-dominant-features-of-social-media-for-depression-detection
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