A hybrid strategy to extract metadata from scholarly articles by utilizing support vector machine and heuristics
Bibliographic Data
| ID | 21442235 |
|---|---|
| Authors | Muhammad Waqas (0000-0001-6151-8864), Muhammad Waqas Ahmed (0000-0002-4563-8951, Capital University of Science and Technology, corresponding author), Nafisa Anjum (0000-0001-6470-075X, Capital University of Science and Technology), Nadeem Anjum, Muhammad Tanvir Afzal (0000-0002-9765-8815, Shifa Tameer-e-Millat University) |
| Year | 2023 |
| Volume | 128 |
| Issue | 8 |
| Pages | 4349-4382 |
| Publication date | 2023-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-023-04774-7 |
| OpenAlex | W4381618418 |
| Language | EN |
| References cited | 24 |
Digital library · Heuristics · Information retrieval · Metadata · World Wide Web · Advanced Text Analysis Techniques · Biomedical Text Mining and Ontologies · Computer Science · Semantic Web and Ontologies
| Highly cited | No |
|---|