Exploring trends and emerging topics in oceanography (1992–2021) using deep learning-based topic modeling and cluster analysis
Abstract Recent advancements in data sampling, modeling, and increased collaboration among scientists have driven a substantial rise in oceanography publications. By utilizing big data and deep learning, we built a BERTopic model to perform topic modeling on 334,765 publications from the Web of Scie...
Saved in:
| Main Authors: | Mingyu Han, Yuntao Zhou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | npj Ocean Sustainability |
| Online Access: | https://doi.org/10.1038/s44183-024-00097-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Emerging Trends in Soft Set Theory and Related Topics
by: Feng Feng, et al.
Published: (2015-01-01) -
Topic Modeling of Foot & Ankle International: An AI-Driven Analysis of Journal Topics & Trends
by: Henry Baird BS, et al.
Published: (2024-12-01) -
The database on oceanography of the eastern Okhotsk Sea
by: V. V. Kolomeytsev, et al.
Published: (2023-04-01) -
Research on the hysteresis effect of topic related evolution for emerging trends prediction
by: Liu Ziqiang, et al.
Published: (2025-04-01) -
Assessment in homeschooling: Emerging topics
by: Emilia Restiglian, et al.
Published: (2025-06-01)