Inside the Black Box of Dictionary Building for Text Analytics: A Design Science Approach

Authors

Qi Deng, Carleton UniversityFollow
Michael J. Hine, Carleton UniversityFollow
Shaobo Ji, Carleton UniversityFollow
Sujit Sur, Sprott School of Business, Carleton UniversityFollow

Document Type

Article

Abstract

The purpose of this paper is to develop and demonstrate a dictionary building process model for text analytics projects following the design science methodology. Using inductive consensus-building, we examined prior research to develop an initial process model. The model is subsequently demonstrated and validated by using data to develop an environmental sustainability dictionary for the IT industry. To our knowledge, this is an initial attempt to provide a normalized dictionary building process for text analytics projects. The resulting process model can provide a road map for researchers who want to use automated approaches to text analysis but are currently prevented by the lack of applicable domain dictionaries. Having a normalized design process model will assist researchers by legitimizing their work requiring dictionary building and help academic reviewers by providing an evaluation framework. The resulting environmental sustainability dictionary for IT industry can be used as a starting point for future research on Green IT and sustainability management.

Recommended Citation

Deng, Qi; Hine, Michael J.; Ji, Shaobo; and Sur, Sujit (2019) "Inside the Black Box of Dictionary Building for Text Analytics: A Design Science Approach," Journal of International Technology and Information Management: Vol. 27: Iss. 3, Article 7.
DOI: https://doi.org/10.58729/1941-6679.1376
Available at: https://scholarworks.lib.csusb.edu/jitim/vol27/iss3/7