Identification of topic evolution: network analytics with piecewise linear representation and word embedding

L Huang, X Chen, Y Zhang, C Wang, X Cao, J Liu - scientometrics, 2022 - Springer
Understanding the evolutionary relationships among scientific topics and learning the
evolutionary process of innovations is a crucial issue for strategic decision makers in …

A holistic perspective on Earth system science

Y Zheng, Z Guo, N Jiao, M Mu, S Piao, S Fu… - Science China Earth …, 2024 - Springer
Earth system can be categorized into three parts, solid Earth system, surface Earth system,
and Sun-Earth space system. These three subsystems not only have mutual transmission …

Exploring the evolution and collaboration in two-sided matching: a comprehensive bibliometric and topic modeling analysis

X He, B Xiang, Z Xu, D Yu - International Journal of Intelligent …, 2024 - emerald.com
Purpose This study aims to provide a comprehensive analysis of two-sided matching (TSM)
research, an interdisciplinary field that integrates both theoretical and practical perspectives …

Learning consumer preferences through textual and visual data: a multi-modal approach

X Liu, Y Liu, Y Qian, Y Jiang, H Ling - Electronic Commerce Research, 2023 - Springer
This paper proposes a novel multi-modal probabilistic topic model (LSTIT) to infer consumer
preferences by jointly leveraging textual and visual data. Specifically, we use the title and …

A semiotic comparison of mass media representations of the swine flu and Covid-19 pandemics: observing Narcissus Narcosis

A Olteanu, F Rabitz, A Nalivaikė - Punctum: international journal of …, 2021 - epubl.ktu.edu
Abstract [eng] This paper compares the coverage of the H1N1 and Covid-19 pandemics in
ten prominent US daily newspapers. We selected articles that reference disease-specific …