Unknown

Dataset Information

0

Semantic Changepoint Detection for Finding Potentially Novel Research Publications.


ABSTRACT: How has the focus of research papers on a given disease changed over time? Identifying the papers at the cusps of change can help highlight the emergence of a new topic or a change in the direction of research. We present a generally applicable unsupervised approach to this question based on semantic changepoints within a given collection of research papers. We illustrate the approach by a range of examples based on a nascent corpus of literature on COVID-19 as well as subsets of papers from PubMed on the World Health Organization list of neglected tropical diseases. The software is freely available at: https://github.com/pdddinakar/SemanticChangepointDetection.

SUBMITTER: Dinakar B 

PROVIDER: S-EPMC8352552 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| PRJEB27580 | ENA
| S-EPMC2663789 | biostudies-other
| S-EPMC7176083 | biostudies-literature
| S-EPMC7028057 | biostudies-literature
| S-EPMC7871754 | biostudies-literature
| S-EPMC4941872 | biostudies-other
| S-EPMC5589422 | biostudies-literature
| S-EPMC7238935 | biostudies-literature
2021-08-11 | GSE178810 | GEO
| S-EPMC6090631 | biostudies-literature