Semantic Changepoint Detection for Finding Potentially Novel Research Publications

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:26

Enthalten in:

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing - 26(2021) vom: 03., Seite 107-118

Sprache:

Englisch

Beteiligte Personen:

Dinakar, Bhavish [VerfasserIn]
Boguslav, Mayla R [VerfasserIn]
Görg, Carsten [VerfasserIn]
Dinakarpandian, Deendayal [VerfasserIn]

Themen:

Journal Article

Anmerkungen:

Date Completed 19.03.2021

Date Revised 11.08.2021

published: Print

Citation Status MEDLINE

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM322481147