Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47022
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorVANHOENSHOVEN, Frank
dc.contributor.authorGolbazi, Jonas
dc.date.accessioned2025-09-08T12:26:37Z-
dc.date.available2025-09-08T12:26:37Z-
dc.date.issued2025
dc.identifier.urihttp://hdl.handle.net/1942/47022-
dc.format.mimetypeApplication/pdf
dc.languageen
dc.publisherUHasselt
dc.titleDevelopment and Application of a Hybrid Deep Learning Model for Aspect-Based Sentiment Analysis (ABSA): A Comparative Study of McDonald’s Tweets Across Two Time Periods
dc.typeTheses and Dissertations
local.bibliographicCitation.jcatT2
dc.description.notesMaster of Management-Data Science
local.type.specifiedMaster thesis
item.contributorGolbazi, Jonas-
item.fullcitationGolbazi, Jonas (2025) Development and Application of a Hybrid Deep Learning Model for Aspect-Based Sentiment Analysis (ABSA): A Comparative Study of McDonald’s Tweets Across Two Time Periods.-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
Appears in Collections:Master theses
Files in This Item:
File Description SizeFormat 
0263b589-630c-43de-936b-7bf030e256b0.pdf3.38 MBAdobe PDFView/Open
0e705ad5-1c86-4921-b178-4bff9628e7fb.pdf2.13 MBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.