This thesis considers sentiment polarity analysis in Swedish. De-spite being the most widely spoken of the Nordic languages less re-search in sentiment has been conducted in this area compared toneighboring languages. As such this is a largely exploratory projectusing techniques that have shown positive results for other languages.We perform a comparison of techniques applied to a CNN to existingSwedish and multilingual variations of the state of the art BERTmodel. We find that the preprocessing techniques do in fact bene-fit our CNN model, but still do not match the results of fine-tuned BERT models. We conclude that a Swedish specific BERT modelcan outperform the generic multilingual ones, but only under certainconditions.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-446382 |
| Date | January 2021 |
| Creators | Nilsson, Ludvig, Djerf, Olle |
| Publisher | Uppsala universitet, Institutionen för lingvistik och filologi, Uppsala universitet, Institutionen för lingvistik och filologi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | UPTEC F, 1401-5757 ; 21027 |
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