Browsing NTNU Open by Author "Daudpota, Sher Muhammad"
Now showing items 1-13 of 13
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Attention-Based RU-BiLSTM Sentiment Analysis Model for Roman Urdu
Chandio, Bilal Ahmed; Imran, Ali Shariq; Bakhtyar, Maheen; Daudpota, Sher Muhammad; Baber, Junaid (Peer reviewed; Journal article, 2022)Deep neural networks have emerged as a leading approach towards handling many natural language processing (NLP) tasks. Deep networks initially conquered the problems of computer vision. However, dealing with sequential ... -
Classifying European Court of Human Rights Cases Using Transformer-Based Techniques
Imran, Ali Shariq; Hodnefjeld, Henrik; Kastrati, Zenun; Fatima, Noureen; Daudpota, Sher Muhammad; Wani, Mudasir Ahmad (Peer reviewed; Journal article, 2023)In the field of text classification, researchers have repeatedly shown the value of transformer-based models such as Bidirectional Encoder Representation from Transformers (BERT) and its variants. Nonetheless, these models ... -
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 ... -
Drug Adverse Event Detection Using Text-Based Convolutional Neural Networks (TextCNN) Technique
Rawat, Ashish; Wani, Mudasir Ahmad; ElAffendi, Muhammed; Imran, Ali Shariq; Zenun, Kastrati; Daudpota, Sher Muhammad (Peer reviewed; Journal article, 2022)With the rapid advancement in healthcare, there has been exponential growth in the healthcare records stored in large databases to help researchers, clinicians, and medical practitioner’s for optimal patient care, research, ... -
The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review
Ali, Subhan; Akhlaq, Filza; Imran, Ali Shariq; Kastrati, Zenun; Daudpota, Sher Muhammad; Moosa, Muhammad (Peer reviewed; Journal article, 2023)In domains such as medical and healthcare, the interpretability and explainability of machine learning and artificial intelligence systems are crucial for building trust in their results. Errors caused by these systems, ... -
Evaluating Polarity Trend Amidst the Coronavirus Crisis in Peoples’ Attitudes toward the Vaccination Drive
Batra, Rakhi; Imran, Ali Shariq; Kastrati, Zenun; Memon, Abdul Ghafoor; Daudpota, Sher Muhammad; Shaikh, Sarang (Peer reviewed; Journal article, 2021)t has been more than a year since the coronavirus (COVID-19) engulfed the whole world, disturbing the daily routine, bringing down the economies, and killing two million people across the globe at the time of writing. The ... -
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) -
The Potential of Machine Learning Algorithms for Sentiment Classification of Students’ Feedback on MOOC
Edalati, Maryam; Imran, Ali Shariq; Kastrati, Zenun; Daudpota, Sher Muhammad (Peer reviewed; Journal article, 2021)Students’ feedback assessment became a hot topic in recent years with growing e-learning platforms coupled with an ongoing pandemic outbreak. Many higher education institutes were compelled to shift on-campus physical ... -
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 ... -
Soaring Energy Prices: Understanding Public Engagement on Twitter Using Sentiment Analysis and Topic Modeling With Transformers
Kastrati, Zenun; Imran, Ali Shariq; Daudpota, Sher Muhammad; Memjon, Muhammad Atif; Kastrati, Muhamet (Peer reviewed; Journal article, 2023)Energy prices have gone up gradually since last year, but a drastic hike has been observed recently in the past couple of months, affecting people’s thrift. This, coupled with the load shedding and energy shortages in some ... -
A Systematic Literature Review on Text Generation Using Deep Neural Network Models
Fatima, Noureen; Imran, Ali Shariq; Kastrati, Zenun; Daudpota, Sher Muhammad; Soomro, Abdullah (Peer reviewed; Journal article, 2022)In recent years, significant progress has been made in text generation. The latest text generation models are revolutionizing the domain by generating human-like text. It has gained wide popularity recently in many domains ... -
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 ...