Topic modeling using latent Dirichlet allocation: A survey
We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …
relatively small subset. A computational tool is extremely needed to understand such a …
Thirty years of research into hate speech: topics of interest and their evolution
A Tontodimamma, E Nissi, A Sarra, L Fontanella - Scientometrics, 2021 - Springer
The exponential growth of social media has brought with it an increasing propagation of
hate speech and hate based propaganda. Hate speech is commonly defined as any …
hate speech and hate based propaganda. Hate speech is commonly defined as any …
Topic modeling in management research: Rendering new theory from textual data
Increasingly, management researchers are using topic modeling, a new method borrowed
from computer science, to reveal phenomenon-based constructs and grounded conceptual …
from computer science, to reveal phenomenon-based constructs and grounded conceptual …
Research paper classification systems based on TF-IDF and LDA schemes
SW Kim, JM Gil - Human-centric Computing and Information Sciences, 2019 - Springer
With the increasing advance of computer and information technologies, numerous research
papers have been published online as well as offline, and as new research fields have been …
papers have been published online as well as offline, and as new research fields have been …
Content analysis of e-petitions with topic modeling: How to train and evaluate LDA models?
L Hagen - Information Processing & Management, 2018 - Elsevier
E-petitions have become a popular vehicle for political activism, but studying them has been
difficult because efficient methods for analyzing their content are currently lacking …
difficult because efficient methods for analyzing their content are currently lacking …
Evolution of topics in education research: A systematic review using bibliometric analysis
C Huang, C Yang, S Wang, W Wu, J Su… - Educational …, 2020 - Taylor & Francis
Education research tends to exhibit interdisciplinary and multidisciplinary characteristics.
Based on the subject areas in Google Scholar, within the 51 disciplines under social …
Based on the subject areas in Google Scholar, within the 51 disciplines under social …
A scientometric overview of CORD-19
As the COVID-19 pandemic unfolds, researchers from all disciplines are coming together
and contributing their expertise. CORD-19, a dataset of COVID-19 and coronavirus …
and contributing their expertise. CORD-19, a dataset of COVID-19 and coronavirus …
Central bank digital currency: A systematic literature review using text mining approach
Central bank digital currency (CBDC) is seen as a possible next step in the evolution of
money, offering a more stable unit of account, a more efficient medium of exchange, and a …
money, offering a more stable unit of account, a more efficient medium of exchange, and a …
Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research
The number and extent of current Science, Technology & Innovation topics are changing all
the time, and their induced accumulative innovation, or even disruptive revolution, will …
the time, and their induced accumulative innovation, or even disruptive revolution, will …
Evolution of research topics in LIS between 1996 and 2019: An analysis based on latent Dirichlet allocation topic model
X Han - Scientometrics, 2020 - Springer
This study investigated the evolution of library and information science (LIS) by analyzing
research topics in LIS journal articles. The analysis is divided into five periods covering the …
research topics in LIS journal articles. The analysis is divided into five periods covering the …