Cite Article
Cite Article
MLA
Gan, Lin, et al. "Machine Learning for Depression Detection on Web and Social Media: A Systematic Review." IJSWIS vol.20, no.1 2024: pp.1-28. http://doi.org/10.4018/IJSWIS.342126
APA
Gan, L., Guo, Y., & Yang, T. (2024). Machine Learning for Depression Detection on Web and Social Media: A Systematic Review. International Journal on Semantic Web and Information Systems (IJSWIS), 20 (1), 1-28. http://doi.org/10.4018/IJSWIS.342126
Chicago
Gan, Lin, Yingqi Guo, and Tao Yang. "Machine Learning for Depression Detection on Web and Social Media: A Systematic Review," International Journal on Semantic Web and Information Systems (IJSWIS) 20, no.1: 1-28. http://doi.org/10.4018/IJSWIS.342126
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International Journal on Semantic Web and Information Systems (IJSWIS) The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.
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