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Using social media and machine learning to predict financial performance of a company
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

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.
Series
IT, 16047
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-301969OAI: oai:DiVA.org:uu-301969DiVA: diva2:955799
Educational program
Master Programme in Computer Science
Supervisors
Examiners
Available from: 2016-08-26 Created: 2016-08-26 Last updated: 2016-08-26Bibliographically approved

Open Access in DiVA

fulltext(726 kB)79 downloads
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File name FULLTEXT01.pdfFile size 726 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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