Data driven identification of international cutting edge science and technologies using SpaCy.
Difficulties in collecting, processing, and identifying massive data have slowed research on cutting-edge science and technology hotspots. Promoting these technologies will not be successful without an effective data-driven method to identify cutting-edge technologies. This paper proposes a data-dri...
Main Authors: | Chunqi Hu, Huaping Gong, Yiqing He |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0275872 |
Similar Items
-
Corpus Analysis with spaCy
by: Megan S. Kane
Published: (2023-11-01) -
Improving spaCy dependency annotation and PoS tagging web service using independent NER services
by: Nico Colic, et al.
Published: (2019-06-01) -
Enhanced geocoding precision for location inference of tweet text using spaCy, Nominatim and Google Maps. A comparative analysis of the influence of data selection
by: Helen Ngonidzashe Serere, et al.
Published: (2023-01-01) -
Enhanced geocoding precision for location inference of tweet text using spaCy, Nominatim and Google Maps. A comparative analysis of the influence of data selection.
by: Helen Ngonidzashe Serere, et al.
Published: (2023-01-01) -
CyVerse: Cyberinfrastructure for open science.
by: Tyson L Swetnam, et al.
Published: (2024-02-01)