Blar i NTNU Open på forfatter "Kurti, Arianit"
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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 ... -
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 ... -
WET: Word embedding-topic distribution vectors for MOOC video lectures dataset
Kastrati, Zenun; Kurti, Arianit; Imran, Ali Shariq (Journal article; Peer reviewed, 2020)In this article, we present a dataset containing word embeddings and document topic distribution vectors generated from MOOCs video lecture transcripts. Transcripts of 12,032 video lectures from 200 courses were collected ...