Seeded topic modeling as a more appropriate alternative to unsupervised standard topic models
Bibliographic Data
| ID | 5965663 |
|---|---|
| Authors | Martin Schweinberger (0000-0003-1923-9153, The University of Queensland, corresponding author) |
| Year | 2024 |
| Volume | 27 |
| Issue | 4 |
| Pages | 675-678 |
| Publication date | 2024-11-29 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Discourse Studies (JOURNAL) |
| Journal identifiers | ISSN: 1461-4456 • E-ISSN: 1461-7080 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/14614456241293895 |
| OpenAlex | W4404856770 |
| Language | EN |
| Citations received | 1 |
| References cited | 5 |
Data science · Natural language processing · Topic model · Computational and Text Analysis Methods · Computer Science · Natural Language Processing Techniques · Topic Modeling · Artificial Intelligence
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |