Authors’ Response to Peer Reviews of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”
Authors’ Response to Peer Reviews of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”
Usha Lokala
1
, MS ;
Orchid Chetia Phukan
2
, MTech ;
Triyasha Ghosh Dastidar
3
, MSc ;
Francois Lamy
4
, PhD ;
Raminta Daniulaityte
5
, PhD ;
Amit Sheth
1
, PhD
1
Department of Computer Science and Computer Engineering, Artificial Intelligence Institute, University of South Carolina, Columbia, SC, United States
2
Department of Computer Science and Engineering, Indraprastha Institute of Information Technology, Delhi, India
3
Department of Computer Science and Engineering, Birla Institute of Technology & Science Pilani, Hyderabad, India
4
Department of Society and Health, Mahildol University, Salaya, Thailand
5
College of Health Solutions, Institute for Social Science Research, Arizona State University, Phoneix, AZ, United States
Corresponding Author:
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Usha Lokala, MS
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Department of Computer Science and Computer Engineering
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Artificial Intelligence Institute
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University of South Carolina
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Science and Technology building Floor 5, 1112 Greene St
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Columbia, SC, 29208
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United States
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Phone:
1 8037771910
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Email: nlokala@email.sc.edu