Detecting the magnitude of depression in Twitter users using sentiment analysis · CHRIST (Deemed To Be University) Institutional Repository

Title: Detecting the magnitude of depression in Twitter users using sentiment analysis
Description: International Journal of Electrical and Computer Engineering Vol.9 Issue.4 pp.3247-3255
Creator: Stephen J.J.; Prabu P.
Source: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067230531&doi=10.11591%2fijece.v9i4.pp3247-3255&partnerID=40&md5=546cb2e7738d44d3dd92312d312041ec
Date: 2019-01-01

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Citation

Stephen J.J.; Prabu P., “Detecting the magnitude of depression in Twitter users using sentiment analysis,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/7114.

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