Text mining and visualization using VOSviewer
Nees Jan van Eck, Ludo Waltman

TL;DR
This paper introduces new text mining features in VOSviewer, a tool for visualizing bibliometric maps, demonstrated through various applications analyzing large text datasets.
Contribution
The paper presents novel text mining capabilities in VOSviewer, enhancing its ability to analyze and visualize large-scale text data in bibliometric research.
Findings
New text mining functionalities in VOSviewer
Effective visualization of large text datasets
Applications demonstrating analysis of extensive text data
Abstract
VOSviewer is a computer program for creating, visualizing, and exploring bibliometric maps of science. In this report, the new text mining functionality of VOSviewer is presented. A number of examples are given of applications in which VOSviewer is used for analyzing large amounts of text data.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Visualization and Analytics · Advanced Text Analysis Techniques · Data Analysis with R
