Computational Grounded Theory: A Methodological Framework

By Laura K. Nelson. 2020

577 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Education, General Social Sciences

View Paper: https://www.semanticscholar.org/paper/461fab50e018db09f0d04e399926a973aa143e1e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Richard F.J. Haans
2. Timothy R. Hannigan
3. Sarah Kaplan
4. P. Devereaux Jennings
5. Vern L. Glaser
6. Keyvan Vakili
7. Hovig Tchalian
8. M. Wang

In Education

1. Richard F.J. Haans
2. Timothy R. Hannigan
3. Sarah Kaplan
4. P. Devereaux Jennings
5. Vern L. Glaser
6. Keyvan Vakili
7. Hovig Tchalian
8. M. Wang

In General Social Sciences

1. Richard F.J. Haans
2. Timothy R. Hannigan
3. Sarah Kaplan
4. P. Devereaux Jennings
5. Vern L. Glaser
6. Keyvan Vakili
7. Hovig Tchalian
8. M. Wang

Citations in the corpus

• Topic Modeling in Management Research: Rendering New Theory from Textual Data (2019, methodology): “As a result, topic modeling relies on a great deal of preprocessing with various techniques and rules of practice to prepare texts for analysis (Nelson, 2017; Schmiedel et al., 2018).”