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 …
Topic modeling as a strategy of inquiry in organizational research: A tutorial with an application example on organizational culture
T Schmiedel, O Müller… - Organizational Research …, 2019 - journals.sagepub.com
Research has emphasized the limitations of qualitative and quantitative approaches to
studying organizational phenomena. For example, in-depth interviews are resource …
studying organizational phenomena. For example, in-depth interviews are resource …
Virtually in this together–how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis
Regulations to contain the spread of COVID-19 have affected corporations, institutions, and
individuals to a degree that most people have never seen before. Information systems …
individuals to a degree that most people have never seen before. Information systems …
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
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 …
data discovery, and finding relationships among data and text documents. Researchers …
Special issue editorial–accumulation and evolution of design knowledge in design science research: a journey through time and space
Abstract Sir Isaac Newton (1676) famously said,“If I have seen further, it is by standing on the
shoulders of giants.” Research is a collaborative, evolutionary endeavor—and it is no …
shoulders of giants.” Research is a collaborative, evolutionary endeavor—and it is no …
Listen to E-scooter riders: Mining rider satisfaction factors from app store reviews
In this study, app store reviews from two major micromobility companies are investigated
using machine learning techniques to identify the factors that influence rider satisfaction. The …
using machine learning techniques to identify the factors that influence rider satisfaction. The …
[HTML][HTML] State-of-the-art on analytic hierarchy process in the last 40 years: Literature review based on Latent Dirichlet Allocation topic modelling
P Madzík, L Falát - Plos One, 2022 - journals.plos.org
Although there are several articles that have carried out a systematic literature review of the
analytical hierarchy process (AHP), many of them work with a limited number of analyzed …
analytical hierarchy process (AHP), many of them work with a limited number of analyzed …
Computational literature reviews: Method, algorithms, and roadmap
The substantial volume, continued growth, and resulting complexity of the scientific literature
not only increases the need for systematic, replicable, and rigorous literature reviews, but …
not only increases the need for systematic, replicable, and rigorous literature reviews, but …
Mapping human–computer interaction research themes and trends from its existence to today: A topic modeling-based review of past 60 years
As it covers a wide spectrum, the research literature of human-computer interaction (HCI)
studies has a rich and multi-disciplinary content where there are limited studies …
studies has a rich and multi-disciplinary content where there are limited studies …
Mining the voice of employees: A text mining approach to identifying and analyzing job satisfaction factors from online employee reviews
Y Jung, Y Suh - Decision Support Systems, 2019 - Elsevier
Online reviews have become a significant information source for business practitioners to
know about customers' opinions of their products or services. Previous studies examined …
know about customers' opinions of their products or services. Previous studies examined …