| dc.contributor.advisor | Gambäck, Björn | |
| dc.contributor.author | Kristiansen, Tommy | |
| dc.date.accessioned | 2019-09-11T10:56:42Z | |
| dc.date.created | 2018-06-08 | |
| dc.date.issued | 2018 | |
| dc.identifier | ntnudaim:18039 | |
| dc.identifier.uri | http://hdl.handle.net/11250/2615883 | |
| dc.description.abstract | In this thesis a genetic algorithm is used to evolve syntax-patterns that can tell which parts of a sentence that is relevant or irrelevant with regards to sentiment analysis towards a given entity in the sentence. | en |
| dc.language | eng | |
| dc.publisher | NTNU | |
| dc.subject | Informatikk, Kunstig intelligens | en |
| dc.title | Aspect-based Sentiment Analysis | en |
| dc.type | Master thesis | en |
| dc.source.pagenumber | 21 | |
| dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi og elektroteknikk,Institutt for datateknologi og informatikk | nb_NO |
| dc.date.embargoenddate | 10000-01-01 | |
