Application of text mining in smart lighting literature - an analysis of existing literature and a research agenda

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Zarindast, Atousa
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Sharma, Anuj
Wood, Jonathan
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Civil, Construction and Environmental Engineering

The Department of Civil, Construction, and Environmental Engineering seeks to apply knowledge of the laws, forces, and materials of nature to the construction, planning, design, and maintenance of public and private facilities. The Civil Engineering option focuses on transportation systems, bridges, roads, water systems and dams, pollution control, etc. The Construction Engineering option focuses on construction project engineering, design, management, etc.

The Department of Civil Engineering was founded in 1889. In 1987 it changed its name to the Department of Civil and Construction Engineering. In 2003 it changed its name to the Department of Civil, Construction and Environmental Engineering.

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  • Department of Civil Engineering (1889-1987)
  • Department of Civil and Construction Engineering (1987-2003)
  • Department of Civil, Construction and Environmental Engineering (2003–present)

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Institute for Transportation
InTrans administers 14 centers and programs, and several other distinct research specialties, and a variety of technology transfer and professional education initiatives. More than 100 Iowa State University faculty and staff work at InTrans, and from 200 to 250 student assistants from several ISU departments conduct research while working closely with university faculty. InTrans began in 1983 as a technical assistance program for Iowa’s rural transportation agencies.
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There has always been a gap between research and engineering practices across almost all disciplines. The nature of these gaps are not identified; However, in order to be able to bridge these gaps a comprehensive understanding is required. In this study, in order to provide research agenda, we examine existing literature and users perception in smart lighting business. We consider two sources of data for this analysis 1-lighting research literature that reflects the research phase and 2-Amazon reviews about two smart lighting products that represent customers’ perceptions reflecting the development phase. We use text mining and analyze both data sources by topic modeling and sentiment analysis. We conducted a probabilistic aspect based sentiment analysis. One of the results of this analysis showed that while the research community is drastically concerned about energy consumption, the end users were excited about color changing ability in smart lighting products.
This article is published as Zarindast, Atousa, Anuj Sharma, and Jonathan Wood. "Application of text mining in smart lighting literature-an analysis of existing literature and a research agenda." International Journal of Information Management Data Insights 1, no. 2 (2021): 100032. DOI: 10.1016/j.jjimei.2021.100032. Copyright 2021 The Author(s). Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). Posted with permission.