Topic modelling for qualitative studies

By Sergey I. Nikolenko, Sergei Koltcov, Olessia Koltsova. Journal of information science, 2017

314 citations recorded by the source corpus.

Subfields: Artificial Intelligence, General Social Sciences

View Paper: https://www.semanticscholar.org/paper/852eccd2597fe097847a62a752594721fda406f6

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. Mekhail Mustak
2. Jochen Wirtz
3. Joni O. Salminen
4. Loïc Plé

In General Social Sciences

1. Mekhail Mustak
2. Jochen Wirtz
3. Joni O. Salminen
4. Loïc Plé

Citations in the corpus

• Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda (2020, methodology): “Second, using scientometric techniques, we generate further insights about authors and research networks, as well as establishing keyword cooccurrence rates, identifying landmark publications, and depicting the evolution of the field over time (Lowry et al., 2013; Nikolenko et al., 2017; Zhao et al.”