Semantic Changepoint Detection for Finding Potentially Novel Research Publications.
Pac Symp Biocomput
; 26: 107-118, 2021.
Article
in En
| MEDLINE
| ID: mdl-33691009
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.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Semantics
/
COVID-19
Type of study:
Diagnostic_studies
/
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Pac Symp Biocomput
Journal subject:
BIOTECNOLOGIA
/
INFORMATICA MEDICA
Year:
2021
Document type:
Article
Country of publication: