Browsing Department of Information Science and Media Studies by Subject "machine learning"

Now showing items 1-5 of 5

    • Attitudes towards the Covid-19 vaccine on Twitter in Norway 

      Brendsdal, Ingri Eriksen (Master thesis, 2022-06-01)
      The goal of this thesis is to characterize the distribution of attitudes present on Norwegian Twitter concerning the Covid-19 vaccine by implementing methods for text analysis and social media network analysis. The first ...

    • Creating an Agglomerative Clustering Approach Using GDELT 

      Jahr, Oskar Emilius Buserud (Master thesis, 2023-06-01)
      GDELT is a project with a large scale, continuously updated databank that provides a real-time image of the global news picture by outputting these as files that can be downloaded and used by anyone. However, this data is ...

    • Data Mining in Norwegian Level-of-Living Survey Data 

      Vestby, Magnus Lyngseth (Master thesis, 2020-07-11)
      This thesis analyses how level-of-living survey data can be explored using data mining techniques and how well the resulting patterns can be visualized to inform non-experts. The project utilized the design science research ...

    • HALE, the Hip Arthroplasty Longevity Estimation system 

      Longberg, Per-Niklas (Master thesis, 2018-12-15)
      This master thesis presents a Design Science research in which the HALE system for total hip arthroplasty prosthesis longevity estimation has been developed. The HALE system was developed to explore the use of machine ...

    • Video Recommendations Based on Visual Features Extracted with Deep Learning 

      Kvifte, Tord (Master thesis, 2021-06-01)
      When a movie is uploaded to a movie Recommender System (e.g., YouTube), the system can exploit various forms of descriptive features (e.g., tags and genre) in order to generate personalized recommendation for users. However, ...