EconPapers    
Economics at your fingertips  
 

TUTORIAL: AI research without coding: The art of fighting without fighting: Data science for qualitative researchers

Leon Ciechanowski, Dariusz Jemielniak and Peter A. Gloor

Journal of Business Research, 2020, vol. 117, issue C, 322-330

Abstract: In this tutorial, we show how to scrape and collect online data, perform sentiment analysis, social network analysis, tribe finding, and Wikidata cross-checks, all without using a single line of programming code. In a step-by-step example, we use self-collected data to perform several analyses of the glass ceiling. Our tutorial can serve as a standalone introduction to data science for qualitative researchers and business researchers, who have avoided learning to program. It should also be useful for experienced data scientists who want to learn about the tools that will allow them to collect and analyze data more easily and effectively.

Keywords: Twitter; Data scraping; Sentiment analysis; Tribe finding; Wikidata (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296320303854
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:117:y:2020:i:c:p:322-330

DOI: 10.1016/j.jbusres.2020.06.012

Access Statistics for this article

Journal of Business Research is currently edited by A. G. Woodside

More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jbrese:v:117:y:2020:i:c:p:322-330