Return to search

How to improve Swedish sentiment polarityclassification using context analysis

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.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-446382
Date January 2021
CreatorsNilsson, Ludvig, Djerf, Olle
PublisherUppsala universitet, Institutionen för lingvistik och filologi, Uppsala universitet, Institutionen för lingvistik och filologi
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
RelationUPTEC F, 1401-5757 ; 21027

Page generated in 0.002 seconds