Bias Detection in Wikipedia Articles

dc.contributor.author	Stankiewicz, Weronika
dc.date.accessioned	2023-01-02T10:37:57Z
dc.date.available	2023-01-02T10:37:57Z
dc.date.issued	2023-01-02
dc.identifier.issn	2021/M/DS/23
dc.identifier.uri	https://repin.pjwstk.edu.pl/xmlui/handle/186319/2061
dc.description.abstract	This work focuses on detecting biased speech by utilizing natural language processing techniques. The main objective is to create a tool able to distinguish between biased and unbiased sentences. The first chapter concerns theoretical aspects of natural language processing and linguistic characteristics of subjective speech. The next chapters describe technical aspects of deep learning models such as artificial neural networks. Chapters 4 and 6 are devoted to advanced artificial intelligence models dedicated to language modelling. The last chapter focuses on the practical part. It describes the process of data acquisition and implementation of the models.	pl_PL
dc.language.iso	en	pl_PL
dc.relation.ispartofseries	;Nr 6318
dc.subject	Informatyka	pl_PL
dc.title	Bias Detection in Wikipedia Articles	pl_PL
dc.title.alternative	Wykrywanie stronniczosci w artykułach Wikipedii	pl_PL
dc.type	Thesis	pl_PL