Gender and entrepreneurship: Research frameworks, barriers and opportunities for women entrepreneurship worldwide

JA Strawser, DM Hechavarría… - Journal of Small …, 2021 - Taylor & Francis
The purpose of this editorial is twofold. First, we present a framework to help make sense of
how research in gender and entrepreneurship is currently conceptualized and positioned …

Random fields in physics, biology and data science

E Hernández-Lemus - Frontiers in Physics, 2021 - frontiersin.org
A random field is the representation of the joint probability distribution for a set of random
variables. Markov fields, in particular, have a long standing tradition as the theoretical …

UNISON framework for user requirement elicitation and classification of smart product-service system

K Zhang, KY Lin, J Wang, Y Ma, H Li, L Zhang… - Advanced Engineering …, 2023 - Elsevier
Smart product-service system (smart PSS) has become the manufacturers' new revenue and
sustainable competitiveness sources with the rise of digital servitization. To configure a …

What patients like or dislike in physicians: Analyzing drivers of patient satisfaction and dissatisfaction using a digital topic modeling approach

AM Shah, X Yan, S Tariq, M Ali - Information Processing & Management, 2021 - Elsevier
A large volume of patients' opinions—as online doctor reviews (ODRs)—are available
online in order to access, analyze, and improve patients' perceptions about the quality of …

Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach

AM Shah, X Yan, A Qayyum, RA Naqvi… - International Journal of …, 2021 - Elsevier
Introduction An increasing number of patients are voicing their opinions and expectations
about the quality of care in online forums and on physician rating websites (PRWs). This …

An unsupervised annotation of Arabic texts using multi-label topic modeling and genetic algorithm

HA Almuzaini, AM Azmi - Expert Systems with Applications, 2022 - Elsevier
Every day the world produces an enormous amount of textual data. This unstructured text is
of little use unless it is labeled using a combination of categories, keywords, tags. Humans …

Online multi-label dependency topic models for text classification

S Burkhardt, S Kramer - Machine Learning, 2018 - Springer
Multi-label text classification is an increasingly important field as large amounts of text data
are available and extracting relevant information is important in many application contexts …

Where to go: An effective point-of-interest recommendation framework for heterogeneous social networks

X Xiong, S Qiao, N Han, F Xiong, Z Bu, RH Li, K Yue… - Neurocomputing, 2020 - Elsevier
Abstract Point-of-Interest (POI) recommendation is one of the most essential tasks in LBSNs
to help users discover new interesting locations, especially when users travel out of town or …

A point-of-interest suggestion algorithm in Multi-source geo-social networks

X Xiong, S Qiao, Y Li, N Han, G Yuan… - Engineering Applications of …, 2020 - Elsevier
Newly emerging location-based social network (LBSN) services provide us with new
platforms to share interests and individual experience based on their activity history. The …

Mining dynamics of research topics based on the combined LDA and WordNet

C Li, S Feng, Q Zeng, W Ni, H Zhao, H Duan - IEEE Access, 2018 - ieeexplore.ieee.org
A large volume of research documents are available online for us to access and analysis. It
is very important to detect and mine the dynamics of the research topics from these large …