Using social media and machine learning to predict financial performance of a company
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Social media have recently become one of the most popular communicating form of media for numerous number of people. the text and posts shared on social media is widely used by researcher to analyze, study and relate them to various fields. In this master thesis, sentiment analysis has been performed on posts containing information about two companies that are shared on Twitter, and machine learning algorithms has been used to predict the financial performance of these companies.
Place, publisher, year, edition, pages
2016. , 40 p.
Engineering and Technology
IdentifiersURN: urn:nbn:se:uu:diva-301969OAI: oai:DiVA.org:uu-301969DiVA: diva2:955799
Master Programme in Computer Science
Ashcroft, MichealNgai, Edith