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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 …
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
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 …
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
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 …
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
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 …
few years. Cryptocurrency works similar to standard currency, however, virtual payments are …
A deep learning approach for sentiment analysis of COVID-19 reviews
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 …
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
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 …
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 …
emerging artificial intelligence (AI). This work analyses public opinions and sentiments …
[HTML][HTML] Analyzing sentiments regarding ChatGPT using novel BERT: A machine learning approach
Chatbots are AI-powered programs designed to replicate human conversation. They are
capable of performing a wide range of tasks, including answering questions, offering …
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
Combating climate change and mitigating its negative consequences requires enhancing
awareness of sustainable development. It is believed the education sector is an excellent …
awareness of sustainable development. It is believed the education sector is an excellent …
Arabic ChatGPT tweets classification using RoBERTa and BERT ensemble model
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 …
popularity and impressive performance in many natural language processing tasks …