Contextualising topic models in corpus linguistics
Opportunities and challenges
Bibliographic Data
| ID | 5966633 |
|---|---|
| Authors | Akira Murakami (0000-0002-5252-1217, University of Birmingham, corresponding author), Susan Hunston (0000-0001-6399-0564, University of Birmingham), Paul Thompson (0000-0003-2476-2803, University of Birmingham) |
| Year | 2024 |
| Volume | 27 |
| Issue | 4 |
| Pages | 672-674 |
| Publication date | 2024-10-23 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Discourse Studies (JOURNAL) |
| Journal identifiers | ISSN: 1461-4456 • E-ISSN: 1461-7080 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/14614456241293896 |
| OpenAlex | W4403680459 |
| Language | EN |
| References cited | 5 |
Applied linguistics · Cognitive science · Computational linguistics · Corpus linguistics · Linguistics · Quantitative linguistics · Sociology · Computational and Text Analysis Methods · Computer Science · Natural Language Processing Techniques · Philosophy · Psychology · Topic Modeling
| Highly cited | No |
|---|