ePrints.FRI - University of Ljubljana, Faculty of Computer and Information Science

Essay evaluation with machine learning

Tjaša Pernuš (2016) Essay evaluation with machine learning. EngD thesis.

Download (1385Kb)


    The diploma thesis covers the field of machine learning. In more detail it covers the field of deep neural networks. The goal of our thesis was comparing different approaches of machine learning for building models for automated essay scoring and to evaluate the success of deep neural networks compared to other models. For building models we have used already extracted attributes, but for the deep neural network we have also used original essays, represented by the three attributes, that represent the relationships in a sentence. For comparing we have used the R environment, where we have built, tested and compared the models. Many different models of the same kind were built, from which the best was chosen for further comparison with models of different types.

    Item Type: Thesis (EngD thesis)
    Keywords: essay scoring, machine learning, Deep neural network, neural network, Friedman-Nemenyi test
    Number of Pages: 38
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Igor Kononenko237Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537088451)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3437
    Date Deposited: 22 Aug 2016 13:43
    Last Modified: 08 Sep 2016 13:05
    URI: http://eprints.fri.uni-lj.si/id/eprint/3437

    Actions (login required)

    View Item