Contained in this paper is Caries, a comparative relationship visualizer. The systemoperates on tweets and attempts to find named entities and map the relationshipbetween them.The biggest contribution this system makes to the academic community is its uniqueapplication area where it could be used as a form of recommendation system forcustomers. It can also be used as a form of analysis tool for marketing expertsto see what kind of named entities are being compared with each other on socialmedia. These marketing experts can then act on the information to benefit thebusiness. The paper shows that this system is viable, but there is still room forimprovement. Several suggestions for future work is offered, which could likelyincrease the performance of the system significantly.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-321085 |
| Date | January 2017 |
| Creators | Mäkilä, Fredrik |
| Publisher | Uppsala universitet, Institutionen för informationsteknologi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | UPTEC IT, 1401-5749 ; 17004 |
Page generated in 0.0019 seconds