Blar i NTNU Open på forfatter "Kastrati, Zenun"
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Towards Improved Classification Accuracy on Highly Imbalanced Text Dataset Using Deep Neural Language Models
Shaikh, Sarang; Daudpota, Sher Muhammad; Imran, Ali Shariq; Kastrati, Zenun (Peer reviewed; Journal article, 2021)Data imbalance is a frequently occurring problem in classification tasks where the number of samples in one category exceeds the amount in others. Quite often, the minority class data is of great importance representing ... -
Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm
Yar, Hikmat; Imran, Ali Shariq; Khan, Zulfiqar; Sajjad, Muhammad; Kastrati, Zenun (Peer reviewed; Journal article, 2021)Smart home applications are ubiquitous and have gained popularity due to the overwhelming use of Internet of Things (IoT)-based technology. The revolution in technologies has made homes more convenient, efficient, and even ... -
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 ...