TOPIC MODELING WITH NATURAL LANGUAGE PROCESSING FOR IDENTIFICATION OF NUCLEAR PROLIFERATION-RELEVANT SCIENTIFIC AND TECHNICAL PUBLICATIONS.
Conference
·
OSTI ID:1805335
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1805335
- Report Number(s):
- SAND2020-6630C; 687001
- Resource Relation:
- Conference: Proposed for presentation at the INMM Annual Meeting held July 12-16, 2020 in Baltimore, Maryland, US.
- Country of Publication:
- United States
- Language:
- English
Similar Records
TOPIC MODELING WITH NATURAL LANGUAGE PROCESSING FOR IDENTIFICATION OF NUCLEAR PROLIFERATION-RELEVANT SCIENTIFIC AND TECHNICAL PUBLICATIONS.
Natural Language Processing for Topic Identification Supporting Document Search and Identification for Nuclear Proliferation Detection.
Tag It: A Natural Language Processing Approach to Enhancing Delineation of Public Comments Regarding the Consent-Based Siting Process.
Conference
·
2020
·
OSTI ID:1807413
+1 more
Natural Language Processing for Topic Identification Supporting Document Search and Identification for Nuclear Proliferation Detection.
Conference
·
2020
·
OSTI ID:1766759
Tag It: A Natural Language Processing Approach to Enhancing Delineation of Public Comments Regarding the Consent-Based Siting Process.
Conference
·
2022
·
OSTI ID:2004272
+1 more