A5060894435- Sentiment Analysis and Opinion Mining
- Technology Use by Older Adults
- Spam and Phishing Detection
- Context-Aware Activity Recognition Systems
- Biomedical and Engineering Education
- Internet Traffic Analysis and Secure E-voting
- Global Healthcare and Medical Tourism
- Text and Document Classification Technologies
- Network Security and Intrusion Detection
- Mental Health Research Topics
- Advanced Text Analysis Techniques
- Personality Disorders and Psychopathology
- Hate Speech and Cyberbullying Detection
- Mental Health via Writing
- Higher Education Learning Practices
- Quality and Safety in Healthcare
- Dental Health and Care Utilization
- Dental Research and COVID-19
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare
- Personality Traits and Psychology
- Global Education Systems and Policies
- Health and Well-being Studies
Bangladesh University of Business and Technology
2022-2024
National Institute of Nuclear Medicine & Allied Sciences
2021
Emotion detection has become an intriguing issue for researchers because of its psychological, social, and commercial significance. People express their feelings directly or indirectly through facial expressions, language, writing, behavior. An emotion tool is a critical practical way recognizing categorizing moods with various applications. Artificial intelligence often used in research to identify emotions. Machine learning deep algorithms produce high-quality solutions diagnosing...
Abstract The detection of hate speech (HS) in online platforms has become extremely important for maintaining a safe and inclusive environment. While significant progress been made English-language HS detection, methods detecting other languages, such as Bengali, have not explored much like English. In this survey, we outlined the key challenges specific to including scarcity labeled datasets, linguistic nuances, contextual variations. We also examined different approaches methodologies...
Personality is an important psychological structure that responsible for individual differences between people. Social networking site has become the most universally used communication and interaction platform all people over past few years. By predicting personality of a person could be useful in several areas like personalized recommendations, strategies marketing, business intelligence, sociology, human resources management, mental diagnosis. Predicting with help social media data...
Workplace environment is an integral part of a hospital. The workplace influences on nurses’ performance both positively and negatively. A cross-sectional study was conducted in Chittagong Medical College Hospital, from 1st January to 31st December 2017 with the aim assess nurses. Total respondents this were 210 Samples selected by purposive sampling technique. After taking written consent respondents, data collection done face interview using semi-structured questionnaire help Copenhagen...
Background: The simultaneous application of technical and artistic skills restorative procedure enables a practitioner to achieve outstanding esthetic functional results upon the patient’s satisfaction.
 Objectives: To assess patient satisfaction on at selected dentist chambers in Dhaka city.
 Materials methods: It was cross-sectional study which conducted estimate dental city. respondents were purposively. Data collected through face interview reviewing records with help...