With the rise of social media, people have gained a platform to express opinions and discuss current subjects with others. This thesis investigates whether a simple sentiment analysis — determining how positive a tweet about a given party is — can be used to predict the results of the Swedish general election and compares the results to betting odds and opinion polls. The results show that while the idea is an interesting one, and sometimes the data can point in the right direction, it is by far a reliable source to predict election outcomes.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-75839 |
Date | January 2018 |
Creators | Karlsson, Beppe |
Publisher | Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM) |
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 |
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