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Zenun Kastrati
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Cross-cultural polarity and emotion detection using sentiment analysis and deep learning on COVID-19 related tweets
AS Imran, SM Daudpota, Z Kastrati, R Batra
Ieee Access 8, 181074-181090, 2020
3282020
MOOC dropout prediction using machine learning techniques: Review and research challenges
F Dalipi, AS Imran, Z Kastrati
2018 IEEE global engineering education conference (EDUCON), 1007-1014, 2018
2512018
Weakly supervised framework for aspect-based sentiment analysis on students’ reviews of MOOCs
Z Kastrati, AS Imran, A Kurti
IEEE Access 8, 106799-106810, 2020
1512020
Sentiment analysis of students’ feedback with NLP and deep learning: A systematic mapping study
Z Kastrati, F Dalipi, AS Imran, K Pireva Nuci, MA Wani
Applied Sciences 11 (9), 3986, 2021
1372021
Towards smart home automation using IoT-enabled edge-computing paradigm
H Yar, AS Imran, ZA Khan, M Sajjad, Z Kastrati
Sensors 21 (14), 4932, 2021
1132021
The impact of deep learning on document classification using semantically rich representations
Z Kastrati, AS Imran, SY Yayilgan
Information Processing & Management 56 (5), 1618-1632, 2019
702019
A deep learning sentiment analyser for social media comments in low-resource languages
Z Kastrati, L Ahmedi, A Kurti, F Kadriu, D Murtezaj, F Gashi
Electronics 10 (10), 1133, 2021
552021
Towards improved classification accuracy on highly imbalanced text dataset using deep neural language models
S Shaikh, SM Daudpota, AS Imran, Z Kastrati
Applied Sciences 11 (2), 869, 2021
522021
Integrating word embeddings and document topics with deep learning in a video classification framework
Z Kastrati, AS Imran, A Kurti
Pattern Recognition Letters 128, 85-92, 2019
512019
An analysis of social collaboration and networking tools in elearning
AS Imran, K Pireva, F Dalipi, Z Kastrati
Learning and Collaboration Technologies: Third International Conference, LCT …, 2016
412016
Aspect-Based Opinion Mining of Students' Reviews on Online Courses
Z Kastrati, B Arifaj, A Lubishtani, F Gashi, E Nishliu
Proceedings of the 2020 6th international conference on computing and …, 2020
402020
Predicting student dropout in a MOOC: An evaluation of a deep neural network model
AS Imran, F Dalipi, Z Kastrati
Proceedings of the 2019 5th International Conference on Computing and …, 2019
392019
The potential of machine learning algorithms for sentiment classification of students’ feedback on MOOC
M Edalati, AS Imran, Z Kastrati, SM Daudpota
Intelligent Systems and Applications: Proceedings of the 2021 Intelligent …, 2022
342022
A systematic literature review on text generation using deep neural network models
N Fatima, AS Imran, Z Kastrati, SM Daudpota, A Soomro
IEEE Access 10, 53490-53503, 2022
332022
The impact of translating resource-rich datasets to low-resource languages through multi-lingual text processing
A Ghafoor, AS Imran, SM Daudpota, Z Kastrati, R Batra, MA Wani
IEEE Access 9, 124478-124490, 2021
292021
Towards understanding the MOOC trend: pedagogical challenges and business opportunities
F Dalipi, SY Yayilgan, AS Imran, Z Kastrati
Learning and Collaboration Technologies: Third International Conference, LCT …, 2016
282016
WET: Word embedding-topic distribution vectors for MOOC video lectures dataset
Z Kastrati, A Kurti, AS Imran
Data in brief 28, 105090, 2020
272020
Evaluating polarity trend amidst the coronavirus crisis in peoples’ attitudes toward the vaccination drive
R Batra, AS Imran, Z Kastrati, A Ghafoor, SM Daudpota, S Shaikh
Sustainability 13 (10), 5344, 2021
242021
Performance analysis of machine learning classifiers on improved concept vector space models
Z Kastrati, AS Imran
Future Generation Computer Systems 96, 552-562, 2019
232019
Going digital as a result of COVID-19: Insights from students’ and teachers’ impressions in a Swedish university
F Dalipi, P Jokela, Z Kastrati, A Kurti, P Elm
International Journal of Educational Research Open 3, 100136, 2022
222022
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