| dc.contributor.author | Gjelsvik, Maia Lunde | |
| dc.date.accessioned | 2023-06-27T00:03:23Z | |
| dc.date.available | 2023-06-27T00:03:23Z | |
| dc.date.issued | 2023-06-02 | |
| dc.date.submitted | 2023-06-26T22:02:19Z | |
| dc.identifier.uri | https://hdl.handle.net/11250/3073296 | |
| dc.description.abstract | This thesis investigates the concepts of fine-grained news classification. To do this, an empirical study in which human annotators categorized news was conducted. The also study consisted of measuring agreement between hu- man annotators and evaluating the precision of the annotations. The study revealed a need for a framework for fine-grained news classification. A framework was then developed and evaluated, producing a complete annotated dataset. | |
| dc.language.iso | eng | |
| dc.publisher | The University of Bergen | |
| dc.rights | Copyright the Author. All rights reserved | |
| dc.title | Fine-Grained News Classification | |
| dc.type | Master thesis | |
| dc.date.updated | 2023-06-26T22:02:19Z | |
| dc.rights.holder | Copyright the Author. All rights reserved | |
| dc.description.degree | Masteroppgave i informasjonsvitenskap | |
| dc.description.localcode | INFO390 | |
| dc.description.localcode | MASV-INFO | |
| dc.subject.nus | 735115 | |
| fs.subjectcode | INFO390 | |
| fs.unitcode | 15-17-0 | |
