Exposing emerging trends in smart sustainable city research using deep autoencoders-based fuzzy c-means
The literature discussing the concepts, technologies, and ICT-based urban innovation
approaches of smart cities has been growing, along with initiatives from cities all over the …
approaches of smart cities has been growing, along with initiatives from cities all over the …
Topic discovery and future trend forecasting for texts
Finding topics from a collection of documents, such as research publications, patents, and
technical reports, is helpful for summarizing large scale text collections and the world wide …
technical reports, is helpful for summarizing large scale text collections and the world wide …
[HTML][HTML] Exploring the evolution of research topics during the COVID-19 pandemic
The COVID-19 pandemic has changed the research agendas of most scientific communities,
resulting in an overwhelming production of research articles in a variety of domains …
resulting in an overwhelming production of research articles in a variety of domains …
STCCD: Semantic trajectory clustering based on community detection in networks
C Liu, C Guo - Expert Systems with Applications, 2020 - Elsevier
Most of traditional trajectory clustering algorithms often cluster similar trajectories from a
temporal or spatial perspective. One weak point is that the semantic relationship between …
temporal or spatial perspective. One weak point is that the semantic relationship between …
Early detection of technology opportunity based on analogy design and phrase semantic representation
J Zhang, W Yu - Scientometrics, 2020 - Springer
In order to gain competitive advantage, technology opportunity detection in the latest and
fast-growing areas has been becoming an important research issue. However, current …
fast-growing areas has been becoming an important research issue. However, current …
Discovery of topic evolution path and semantic relationship based on patent entity representation
J Zhang, Y Liu, L Jiang, J Shi - Aslib Journal of Information …, 2023 - emerald.com
Purpose This paper aims to propose a method for better discovering topic evolution path
and semantic relationship from the perspective of patent entity extraction and semantic …
and semantic relationship from the perspective of patent entity extraction and semantic …
Correlated concept based dynamic document clustering algorithms for newsgroups and scientific literature
J Jayabharathy, S Kanmani - Decision Analytics, 2014 - Springer
Increase in the number of documents in the corpuses like News groups, government
organizations, internet and digital libraries, have led to greater complexity in categorizing …
organizations, internet and digital libraries, have led to greater complexity in categorizing …
[HTML][HTML] Local topic mining for reflective medical writing
Reflective writing is used by medical educators to identify challenges and promote inter-
professional skills. These non-medical skills are central to leadership and career …
professional skills. These non-medical skills are central to leadership and career …
Capturing research literature attitude towards Sustainable Development Goals: an LLM-based topic modeling approach
F Invernici, F Curati, J Jakimov, A Samavi… - arXiv preprint arXiv …, 2024 - arxiv.org
The world is facing a multitude of challenges that hinder the development of human
civilization and the well-being of humanity on the planet. The Sustainable Development …
civilization and the well-being of humanity on the planet. The Sustainable Development …
A multi-cycle recursive clustering algorithm for the analysis of social media data streams
AO Ayorinde, J Panneerselvam, B Yuan… - Peer-to-Peer Networking …, 2025 - Springer
Events are usually embedded in latent topics and the extraction of these latent topics are
enabled by event detection algorithms. Unsupervised algorithms like Clustering algorithms …
enabled by event detection algorithms. Unsupervised algorithms like Clustering algorithms …