Using machine learning to study changes in ‘the nation’s mood’ in historical newspapers
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Huijnen, Pim | |
dc.contributor.author | Scheeper, Daniël | |
dc.date.accessioned | 2024-07-24T23:04:00Z | |
dc.date.available | 2024-07-24T23:04:00Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/46867 | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | Using machine learning to study changes in ‘the nation’s mood’ in historical newspapers | |
dc.title | Using machine learning to study changes in ‘the nation’s mood’ in historical newspapers | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Applied Data Science | |
dc.thesis.id | 34870 |