Identifying fine grained controversy in wikipedia edits of an article.
- Our work finds the fine grained edits in context of neighbouring tokens in Wikipedia articles. We cluster those edits according to similar neighbouring context. We encode neighbouring context into vector space using word vectors. We evaluate clusters returned by our algorithm on extrinsic and intrinsic metric and compare it with previous work. We analyse the relation between extrinsic and intrinsic measurements of fine grained edit tokens.
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| Author: | Aadil Rasheed |
|---|---|
| URN: | urn:nbn:de:kola-18004 |
| Advisor: | Claudia Wagner, Fabian Flöck |
| Document Type: | Master's Thesis |
| Language: | English |
| Date of completion: | 2019/03/01 |
| Date of publication: | 2019/03/06 |
| Publishing institution: | Universität Koblenz, Universitätsbibliothek |
| Granting institution: | Universität Koblenz, Fachbereich 4 |
| Date of final exam: | 2019/03/26 |
| Release Date: | 2019/03/06 |
| Number of pages: | XI, 57 |
| Institutes: | Fachbereich 4 / Institute for Web Science and Technologies |
| Licence (German): |  Es gilt das deutsche Urheberrecht: § 53 UrhG |
