A topic modeling based bibliometric exploration of hydropower research

H Jiang, M Qiang, P Lin - Renewable and Sustainable Energy Reviews, 2016 - Elsevier
Scientific research articles can provide rich insights into practitioners׳ viewpoints around
contentious policy making. Although much attention has been paid to hydropower …

[HTML][HTML] Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers …

X Chen, D Zou, G Cheng, H Xie - Computers & Education, 2020 - Elsevier
Computers & Education has been leading the field of computers in education for over 40
years, during which time it has developed into a well-known journal with significant …

Topic modeling in management research: Rendering new theory from textual data

TR Hannigan, RFJ Haans, K Vakili… - Academy of …, 2019 - journals.aom.org
Increasingly, management researchers are using topic modeling, a new method borrowed
from computer science, to reveal phenomenon-based constructs and grounded conceptual …

Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

H Jelodar, Y Wang, C Yuan, X Feng, X Jiang… - Multimedia tools and …, 2019 - Springer
Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

Applying LDA topic modeling in communication research: Toward a valid and reliable methodology

D Maier, A Waldherr, P Miltner… - Computational …, 2021 - taylorfrancis.com
Latent Dirichlet allocation (LDA) topic models are increasingly being used in communication
research. Yet, questions regarding reliability and validity of the approach have received little …

[HTML][HTML] Strategically constructed narratives on artificial intelligence: What stories are told in governmental artificial intelligence policies?

AA Guenduez, T Mettler - Government Information Quarterly, 2023 - Elsevier
What stories are told in national artificial intelligence (AI) policies? Combining the novel
technique of structural topic modeling (STM) and qualitative narrative analysis, this paper …

Beyond design and use: How scholars should study intelligent technologies

DE Bailey, SR Barley - Information and Organization, 2020 - Elsevier
This paper proposes a unified approach to studying intelligent technologies such as artificial
intelligence (AI) that extends current studies of design and use. Current discussion of the …

Making sense of citizens' input through artificial intelligence: a review of methods for computational text analysis to support the evaluation of contributions in public …

J Romberg, T Escher - Digital Government: Research and Practice, 2024 - dl.acm.org
Public sector institutions that consult citizens to inform decision-making face the challenge of
evaluating the contributions made by citizens. This evaluation has important democratic …

Data driven: truckers, technology, and the new workplace surveillance

K Levy - 2022 - torrossa.com
Data Driven Page 1 Page 2 DATA DRIVEN Page 3 Page 4 Data Driven Truckers, Technology,
and the New Workplace Surveillance Karen Levy PRINCE TON UNIVERSITY PRESS PRINCE …

Topic models meet discourse analysis: a quantitative tool for a qualitative approach

T Jacobs, R Tschötschel - International Journal of Social Research …, 2019 - Taylor & Francis
Quantitative text analysis tools have become increasingly popular methods for the
operationalization of various types of discourse analysis. However, their application usually …