Depression detection from social network data using machine learning techniques

Md. Rafiqul Islam; Muhammad Ashad Kabir; Ashir Ahmed; Abu Raihan Mostofa Kamal; Hua Wang; Anwaar Ulhaq

doi:10.1007/s13755-018-0046-0

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Depression detection from social network data using machine learning techniques

Md. Rafiqul Islam Muhammad Ashad Kabir Ashir Ahmed Abu Raihan Mostofa Kamal Hua Wang Anwaar Ulhaq

Year: 2018 Journal: Health Information Science and Systems Vol: 6 (1)Pages: 8-8 Publisher: Springer Nature

DOI: 10.1007/s13755-018-0046-0

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Keywords:

Computer science Machine learning Feeling Artificial intelligence Set (abstract data type) Scalability Decision tree Point (geometry) Social network (sociolinguistics) Depression (economics) Data set Social media Data science Data mining Psychology World Wide Web Social psychology

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Topics

Mental Health via Writing

Social Sciences → Psychology → Social Psychology

Sentiment Analysis and Opinion Mining

Physical Sciences → Computer Science → Artificial Intelligence

Complex Network Analysis Techniques

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Depression detection from social network data using machine learning techniques

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