A5036250940- Emotion and Mood Recognition
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Spam and Phishing Detection
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Misinformation and Its Impacts
- Face and Expression Recognition
- Computational Physics and Python Applications
- Music and Audio Processing
- Speech and Audio Processing
- Youth Development and Social Support
- Behavioral Health and Interventions
- Machine Learning in Bioinformatics
- EEG and Brain-Computer Interfaces
- Motivation and Self-Concept in Sports
- Neural Networks and Applications
- Machine Learning in Healthcare
- Computational Drug Discovery Methods
- Natural Language Processing Techniques
King Faisal University
2024
Imam Mohammad ibn Saud Islamic University
2022
Recently, emotion analysis and classification of tweets have become a crucial area research. The Arabic language had experienced difficulties with on Twitter(X), needing preprocessing more than other languages. Emotion detection is major challenge in Natural Language Processing (NLP), which allows machines to ascertain the emotions expressed text. task includes recognizing identifying human feelings such as fear, anger, sadness, joy. discovered sentiments gained much recognition recent...
Posting sarcastic comments on social media has become popular in the modern era. Sarcasm is a linguistic expression that typically conveys contrary meaning of what already been said, making it challenging for machines to find literal meaning. It depends mainly context, tedious process computational analysis. well known its modulation with spoken words and an irony undertone. In addition, sarcasm negative sentiment using positive words, which easily confuses analysis (SA) models. detection...
The COVID-19 pandemic has spread throughout the world, leading to school and university closures. A practical response minimize negative effects of depends largely on students’ voluntary adherence government guidelines as well their participation in volunteering activities willingness take national responsibility. From perspective self-determination theory (SDT) motivation, it is postulated that for students willingly participate responsibility, three basic psychological needs (BPN)...
The study of sentiment in Natural Language Processing (NLP) is among the most successful research areas because availability millions user opinions online since turn century. economic, political, and medical fields are just some many that have benefited from studies research. While numerous examined more mainstream topics like consumer electronics, movies, restaurants, relatively few health concerns. Considerable insight into where to direct efforts improve public might be gained by a how...
Humans prefer to convey information through speech utilizing similar language. Speech detection is the capability recognize spoken words of speaking person. Recent work demonstrates increased attention among researcher workers in this field specially Brain-Like computing applications and emphasizes real-world usability for speaker recognition across different applications. Automatic (ASR) method identifying human converting it into text. This study has gained much popularity recent times. It...
The field of Applied Linguistics, which deals with language and its practical uses, connects technology in interesting methods, especially the advancement text-to-speech (TTS) synthesizers. TTS synthesizers change written text into spoken words, deploying ethics from phonology, phonetics, syntax to create natural-sounding speech. Within linguistics use, these methods are invaluable purposes such as increasing communication fractal human–computer interactions (HCIs), language-learning tools,...