Progress, achievements, and challenges in multimodal sentiment analysis using deep learning: A survey

A Pandey, DK Vishwakarma - Applied Soft Computing, 2024 - Elsevier
Sentiment analysis is a computational technique that analyses the subjective information
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …

[HTML][HTML] Emotions matter: A systematic review and meta-analysis of the detection and classification of students' emotions in stem during online learning

A Anwar, IU Rehman, MM Nasralla, SBA Khattak… - Education …, 2023 - mdpi.com
In recent years, the rapid growth of online learning has highlighted the need for effective
methods to monitor and improve student experiences. Emotions play a crucial role in …

Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry

W Aljedaani, F Rustam, MW Mkaouer, A Ghallab… - Knowledge-Based …, 2022 - Elsevier
Twitter being among the popular social media platforms, provide peoples' opinions
regarding specific ideas, products, services, etc. The large amounts of shared data as tweets …

Sentiment analysis and emotion detection on cryptocurrency related tweets using ensemble LSTM-GRU model

N Aslam, F Rustam, E Lee, PB Washington… - Ieee …, 2022 - ieeexplore.ieee.org
The cryptocurrency market has been developed at an unprecedented speed over the past
few years. Cryptocurrency works similar to standard currency, however, virtual payments are …

A deep learning approach for sentiment analysis of COVID-19 reviews

C Singh, T Imam, S Wibowo, S Grandhi - Applied Sciences, 2022 - mdpi.com
User-generated multi-media content, such as images, text, videos, and speech, has recently
become more popular on social media sites as a means for people to share their ideas and …

Data oversampling and imbalanced datasets: An investigation of performance for machine learning and feature engineering

M Mujahid, E Kına, F Rustam, MG Villar, ES Alvarado… - Journal of Big Data, 2024 - Springer
The classification of imbalanced datasets is a prominent task in text mining and machine
learning. The number of samples in each class is not uniformly distributed; one class …

Twitter users perceptions of AI-based e-learning technologies

L Stracqualursi, P Agati - Scientific Reports, 2024 - nature.com
Today, teaching and learning paths increasingly intersect with technologies powered by
emerging artificial intelligence (AI). This work analyses public opinions and sentiments …

[HTML][HTML] Analyzing sentiments regarding ChatGPT using novel BERT: A machine learning approach

M Mujahid, F Rustam, R Shafique, V Chunduri… - Information, 2023 - mdpi.com
Chatbots are AI-powered programs designed to replicate human conversation. They are
capable of performing a wide range of tasks, including answering questions, offering …

Promoting green brand of university in social media: Text mining and sentiment analysis

Y Us, T Pimonenko, O Lyulyov, Y Chen… - Virtual …, 2022 - ceeol.com
Combating climate change and mitigating its negative consequences requires enhancing
awareness of sustainable development. It is believed the education sector is an excellent …

Arabic ChatGPT tweets classification using RoBERTa and BERT ensemble model

M Mujahid, K Kanwal, F Rustam, W Aljedaani… - ACM Transactions on …, 2023 - dl.acm.org
ChatGPT OpenAI, a large-language chatbot model, has gained a lot of attention due to its
popularity and impressive performance in many natural language processing tasks …