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| dc.contributor.advisor | Corazza, Marco | it_IT |
| dc.contributor.author | Rakhaeva, Arina <1999> | it_IT |
| dc.date.accessioned | 2024-06-14 | it_IT |
| dc.date.accessioned | 2024-11-13T09:46:07Z | |
| dc.date.available | 2024-11-13T09:46:07Z | |
| dc.date.issued | 2024-07-09 | it_IT |
| dc.identifier.uri | http://hdl.handle.net/10579/27291 | |
| dc.description.abstract | This paper explores the possibility of improving inflation levels prediction based on the newspaper articles in the US over the past 30 years. Different machine learning algorithms in natural language processing are used to achieve the best results. | it_IT |
| dc.language.iso | en | it_IT |
| dc.publisher | Università Ca' Foscari Venezia | it_IT |
| dc.rights | © Arina Rakhaeva, 2024 | it_IT |
| dc.title | Inflation perception prediction based on news articles | it_IT |
| dc.title.alternative | Inflation perception indicator measurement based on US newspaper articles | it_IT |
| dc.type | Master's Degree Thesis | it_IT |
| dc.degree.name | Economics, finance and sustainability | it_IT |
| dc.degree.level | Laurea magistrale | it_IT |
| dc.degree.grantor | Dipartimento di Economia | it_IT |
| dc.description.academicyear | sessione_estiva_2023-2024_appello_08-07-24 | it_IT |
| dc.rights.accessrights | openAccess | it_IT |
| dc.thesis.matricno | 896257 | it_IT |
| dc.subject.miur | SECS-P/06 ECONOMIA APPLICATA | it_IT |
| dc.description.note | it_IT | |
| dc.degree.discipline | it_IT | |
| dc.contributor.co-advisor | it_IT | |
| dc.date.embargoend | it_IT | |
| dc.provenance.upload | Arina Rakhaeva (896257@stud.unive.it), 2024-06-14 | it_IT |
| dc.provenance.plagiarycheck | Marco Corazza (corazza@unive.it), 2024-07-08 | it_IT |
