CORToViz

CORToViz (CORD-19 Topic Visualizer) is a computational method and interactive visualization tool designed to explore and analyze the evolution of research topics within large text corpora. In the referenced work, it was applied to the COVID-19 Open Research Dataset (CORD-19), which contains over a million scientific abstracts related to the COVID-19 pandemic. CORToViz combines modern machine learning and natural language processing techniques to cluster documents, extract temporal topic trends, and present results through an interactive dashboard. The dashboard supports visualization of topic contents (e.g., with word clouds), time-series plots of topic trends over time, and statistical testing to assess significant changes in topic prominence within user-selected time windows. While demonstrated on CORD-19, the pipeline and visualization components are general and can be adapted to other textual datasets with temporal structure.