Blar i Institutt for informasjonssikkerhet og kommunikasjonsteknologi på forfatter "Imran, Ali Shariq"
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Bloom’s Learning Outcomes’ Automatic Classification Using LSTM and Pretrained Word Embeddings
Shaikh, Sarang; Daudpotta, Sher Muhammad; Imran, Ali Shariq (Peer reviewed; Journal article, 2021)Bloom’s taxonomy is a popular model to classify educational learning objectives into different learning levels for three domains including cognitive, affective and psycho motor. Each domain is further detailed into different ... -
Depression Screening in Humans With AI and Deep Learning Techniques
Wani, Mudasir Ahmad; ELAffendi, Muhammad A.; Shakil, Kashish Ara; Imran, Ali Shariq; El-Latif, Ahmed A. Abd (Journal article; Peer reviewed, 2022) -
The impact of synthetic text generation for sentiment analysis using GAN based models
Imran, Ali Shariq; Yang, Ru; Kastrati, Zenun; Daudpota, Sher Muhammad; Shaikh, Sarang (Peer reviewed; Journal article, 2022)Data imbalance in datasets is a common issue where the number of instances in one or more categories far exceeds the others, so is the case with the educational domain. Collecting feedback on a course on a large scale and ... -
The Impact of Translating Resource-Rich Datasets to Low-Resource Languages Through Multi-Lingual Text Processing
Memon, Abdul Ghafoor; Imran, Ali Shariq; Daudpota, Sher Muhammad; Kastrati, Zenun; Somro, Abdullah; Batra, Rakhi; Wani, Mudasir Ahmad (Journal article; Peer reviewed, 2021) -
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 ... -
Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study
Kastrati, Zenun; Dalipi, Fisnik; Imran, Ali Shariq; Pireva, Krenare; Wani, Mudasir Ahmad (Peer reviewed; Journal article, 2021)In the last decade, sentiment analysis has been widely applied in many domains, including business, social networks and education. Particularly in the education domain, where dealing with and processing students’ opinions ... -
SentiUrdu-1M: A large-scale tweet dataset for Urdu text sentiment analysis using weakly supervised learning
Memon, Abdul Ghafoor; Imran, Ali Shariq; Daudpota, Sher Muhammad; Kastrati, Zenun; Shaikh, Sarang; Batra, Rakhi (Peer reviewed; Journal article, 2023)Low-resource languages are gaining much-needed attention with the advent of deep learning models and pre-trained word embedding. Though spoken by more than 230 million people worldwide, Urdu is one such low-resource language ... -
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 ...