Using Social Media Data as Research Data

Suman Silwal; Dale W Callahan

doi:10.31686/ijier.vol1.iss3.114

Authors

Suman Silwal The University of Alabama, USA
Dale W Callahan The University of Alabama, USA

DOI:

https://doi.org/10.31686/ijier.vol1.iss3.114

Keywords:

Social Media, Social Network Site, Natural Process Language

Abstract

Social Media (SM) is becoming a normal part of everyday life. The information generated from Social Media (SM) data is becoming increasingly utilized as a communication channel for market trend, brand awareness, breaking news, and online social interaction between person to person. SM is also rapidly growing and maturing [1]. Further, SM is becoming a reliable tool for interdisciplinary industries like banks, travel, healthcare, biotech, software, sports etc.
SM data can also be used as a research tool to apply in different areas of Humanities, Art, Science and Engineering. There are unlimited possibilities using Social Networking Site (SNS) to collect, process and evaluate data. This paper reviews the current state of Social Networking Sites and Text-based Language Processes, and how it can be used to generate valuable information.

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Author Biographies

Suman Silwal, The University of Alabama, USA

Interdisciplinary Engineering Ph.D. Student
Dale W Callahan, The University of Alabama, USA

Director, Information Engineering and Management, Birmingham School of Engineering,

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