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How to Leverage Text Data in a Decision Support System?: A Solution Based on Machine Learning and Qualitative Analysis Methods
Umeå University, Faculty of Social Sciences, Department of Informatics.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In the big data context, the growing volume of textual data presents challenges for traditional structured data-based decision support systems (DSS). DSS based on structured data is difficult to process the semantic information of text data. To meet the challenge, this thesis proposes a solution for the Decision Support System (DSS) based on machine Learning and qualitative analysis, namely TLE-DSS. TLE-DSS refers to three critical analytical modules: Thematic Analysis (TA), Latent Dirichlet Allocation (LDA)and Evolutionary Grounded Theory (EGT). To better understand the operation mechanism of TLE-DSS, this thesis used an experimental case to explain how to make decisions through TLE-DSS. Additionally, during the data analysis of the experimental case, by calculating the difference of perplexity of different models to compare similarities, this thesis proposed a solution to determine the optimal number of topics in LDA. Meanwhile, by using LDAvis, a model with the optimal number of topics was visualized. Moreover, the thesis also expounded the principle and application value of EGT. In the last part, this thesis discussed the challenges and potential ethical issues that TLE-DSS still faces.

Place, publisher, year, edition, pages
2019. , p. 41
Series
Informatik Student Paper Master (INFSPM) ; SPM 2019.17
Keywords [en]
DSS, Big Data, Machine Learning, Perplexity, Innovation
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:umu:diva-163899OAI: oai:DiVA.org:umu-163899DiVA, id: diva2:1358517
Educational program
Master's Programme in IT Management
Presentation
2019-06-05, MA 176, MIT, Umeå University, Umeå, 10:00 (English)
Supervisors
Examiners
Available from: 2019-10-18 Created: 2019-10-07 Last updated: 2019-10-18Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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