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http://hdl.handle.net/1942/24729
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DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | VAN DEN BUSSCHE, Jan | - |
dc.contributor.advisor | HELLINGS, Jelle | - |
dc.contributor.author | Gybels, Michelle | - |
dc.date.accessioned | 2017-09-25T07:12:31Z | - |
dc.date.available | 2017-09-25T07:12:31Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | http://hdl.handle.net/1942/24729 | - |
dc.description.abstract | Deze masterproef kadert zich rond de onderzoeksvraag: "Hoe kan inzicht verkregen worden in de sociale beleving van nieuwsartikels?". Meer concreet is onderzocht hoe automatisch sentimentanalyse kan worden uitgevoerd en dit met behulp van Machine Learning. | - |
dc.format.mimetype | Application/pdf | - |
dc.language | nl | - |
dc.publisher | tUL | - |
dc.title | Voorspellen van de sociale beleving van nieuwsartikels met behulp van sentimentanalyse | - |
dc.type | Theses and Dissertations | - |
local.format.pages | 0 | - |
local.bibliographicCitation.jcat | T2 | - |
dc.description.notes | master in de informatica-databases | - |
local.type.specified | Master thesis | - |
item.fullcitation | Gybels, Michelle (2017) Voorspellen van de sociale beleving van nieuwsartikels met behulp van sentimentanalyse. | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
item.contributor | Gybels, Michelle | - |
Appears in Collections: | Master theses |
Files in This Item:
File | Description | Size | Format | |
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00000000-2dc1-4cf3-a4d7-49e9acc204b7.pdf | 1.92 MB | Adobe PDF | View/Open |
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