معرفی
Cynthia Van Hee is a Senior Researcher and lecturer at Ghent University's LT3 (Language and Translation Technology Team), where she conducts cutting-edge research in computational linguistics and natural language processing. Her work focuses on developing advanced systems for irony detection, sentiment analysis, and cyberbullying detection, with applications across multiple languages and social media platforms.
Dr. Van Hee's primary research interests span several interconnected domains within computational linguistics:
- Sentiment analysis (including implicit sentiment, emotion detection and aspect-based sentiment analysis)
- Irony and sarcasm detection in social media
- Cyberbullying detection and classification
- Multilingual natural language processing
- Machine learning applications for social media analysis
Her recent publications demonstrate a strong focus on irony detection across multiple languages, with particular attention to confidence scoring, explanation generation, and multilingual capabilities. She has also expanded her research into ethical AI considerations, exploring the social implications of language technologies and developing frameworks for virtuous data management. Her work bridges theoretical advances in NLP with practical applications in social media monitoring, news diversity, and healthcare contexts.
Dr. Van Hee is actively involved in several major research projects:
- SentEMO: Developing a multilingual adaptive platform for aspect-based sentiment and emotion analysis
- NewsDNA: Exploring diversity in news through algorithmization
- AMiCA: Automatic Monitoring for Cyberspace Applications, focusing on cyberbullying detection
As an educator, she teaches several courses including Audiovisual Language Techniques, Natural Language Processing, Project Management, and Desktop Publishing, helping to train the next generation of language technology specialists. Her commitment to knowledge dissemination is further evidenced by her contributions to educational publications explaining language technology fundamentals to broader audiences.
