Results
eNauka >
Results >
Using machine learning and text mining to classify fuzzy social science phenomenon
| Title: | Using machine learning and text mining to classify fuzzy social science phenomenon | Authors: | Abdullah Gok; Milosevic, Nikola   ; Nenadic, Goran |
Issue Date: | 2019 | Publication: | 17th International Conference on Scientometrics and Informetrics, ISSI 2019 - Proceedings | Publisher: | International Society for Scientometrics and Informetrics | Type: | Conference Paper | ISBN: | 9788833811185  Search Idenfier |
Collation: | str. 2171-2176 | Scopus-ID: | 2-s2.0-85073871236 | URI: | https://enauka.gov.rs/handle/123456789/875210 | URL: | https://research.manchester.ac.uk/en/publications/2b4bf7ba-f663-4151-9a7c-4b2f56242574 | Metadata source: | (Preuzeto iz ORCID-a) Milošević, Nikola | M-category: | Mp. category will be shown later |
1
SCOPUSTM
Google ScholarTM
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.