Teaching Tip: Using Text Analytics AI Insights in Microsoft Power BI Desktop to Score Sentiments, Extract Key Phrases, and Discover Unstructured Data Patterns

Authors

Chang Liu, Northern Illinois UniversityFollow
Charles Downing, Northern Illinois UniversityFollow

Abstract

This teaching tip describes using Microsoft Power BI Desktop in a class to analyze unstructured data from an exit survey of prior students from a Master of Science in Management Information Systems program. Results from a short survey administered to these students showed that the students, using the no-code Power BI, were able to accomplish their text analytics tasks in a shorter period, and with less overall effort, as compared to using traditional code-rich text analytics methods. The process is described in detail as to how the students, new to unstructured data analysis, can uncover these results. This process can be replicated by other instructors teaching text analytics.

DOI

https://doi.org/10.62273/PKER1800

Recommended Citation

Liu, Chang and Downing, Charles (2024) "Teaching Tip: Using Text Analytics AI Insights in Microsoft Power BI Desktop to Score Sentiments, Extract Key Phrases, and Discover Unstructured Data Patterns," Journal of Information Systems Education: Vol. 35 : Iss. 1 , 48-55.
DOI: https://doi.org/10.62273/PKER1800
Available at: https://aisel.aisnet.org/jise/vol35/iss1/5