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Blar i NTNU Open på forfatter "Kastrati, Zenun"

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    • Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets 

      Imran, Ali Shariq; Daudpota, Sher Muhammad; Kastrati, Zenun; Batra, Rakhi (Peer reviewed; Journal article, 2020)
      How different cultures react and respond given a crisis is predominant in a society’s norms and political will to combat the situation. Often, the decisions made are necessitated by events, social pressure, or the need of ...
    • Improving Document Classification Using Ontologies 

      Kastrati, Zenun (Doctoral theses at NTNU;2018:44, Doctoral thesis, 2018)
      We are living in the age of internet where massive amount of information is produced from various digital resources on daily basis. The information of these resources is typically stored in unstructured textual format such ...
    • Integrating word embeddings and document topics with deep learning in a video classification framework 

      Kastrati, Zenun; Imran, Ali Shariq; Kurti, Arianit (Journal article; Peer reviewed, 2019)
      The advent of MOOC platforms brought an abundance of video educational content that made the selection of best fitting content for a specific topic a lengthy process. To tackle this challenge in this paper we report our ...
    • MOOC dropout prediction using machine learning techniques: Review and research challenges 

      Dalipi, Fisnik; Imran, Ali Shariq; Kastrati, Zenun (Chapter, 2018)
      MOOC represents an ultimate way to deliver educational content in higher education settings by providing high-quality educational material to the students throughout the world. Considering the differences between traditional ...
    • Performance analysis of machine learning classifiers on improved concept vector space models 

      Kastrati, Zenun; Imran, Ali Shariq (Journal article; Peer reviewed, 2019)
      This paper provides a comprehensive performance analysis of parametric and non-parametric machine learning classifiers including a deep feed-forward multi-layer perceptron (MLP) network on two variants of improved Concept ...
    • The impact of deep learning on document classification using semantically rich representations 

      Kastrati, Zenun; Imran, Ali Shariq; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2019)
      This paper presents a semantically rich document representation model for automatically classifying financial documents into predefined categories utilizing deep learning. The model architecture consists of two main modules ...
    • Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students’ Reviews of MOOCs 

      Kastrati, Zenun; Imran, Ali Shariq; Kurti, Arianit (Peer reviewed; Journal article, 2020)
      Students’ feedback is an effective mechanism that provides valuable insights about teachinglearning process. Handling opinions of students expressed in reviews is a quite labour-intensive and tedious task as it is typically ...
    • Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students’ Reviews of MOOCs 

      Kastrati, Zenun; Imran, Ali Shariq; Kurti, Arianit (Peer reviewed; Journal article, 2020)
      Students' feedback is an effective mechanism that provides valuable insights about teaching-learning process. Handling opinions of students expressed in reviews is a quite labour-intensive and tedious task as it is typically ...

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