Sophia Ananiadou

Sophia Ananiadou is a Professor in the School of Computer Science at the University of Manchester, where she serves as Director of The National Centre for Text Mining (NaCTeM), the world’s first publicly funded text mining center. She leads interdisciplinary research at the intersection of Natural Language Processing (NLP), Artificial Intelligence (AI), and Machine Learning, with applications spanning biomedicine, public health, environmental science, law, and social sciences. Her work emphasizes computational terminology, information extraction, and neurosymbolic methods, resulting in tools like TerMine and Acromine that are widely adopted in academia and industry.

Education

• PhD in Computational Linguistics, UMIST
• DEA in Linguistics, Paris VII, Jussieu
• DEA in Literature, Paris IV, Sorbonne
• BA in Language and Linguistics, University of Athens

Research Interests focus on scalable text mining solutions, including automatic term recognition, event extraction, emotion detection, and resource building. Her recent publications highlight applications in large language models (EmoLLMs), misinformation analysis, occupational exposure annotation, and argument mining, reflecting a trajectory toward integrating Affective Computing and Generative AI into biomedical and social science domains.

Scientific Awards

• IBM UIMA Innovation Award (3x)
• Daiwa Award
• Next Big Thing Prize (2018)

Collaborations include leadership roles in the Alan Turing Institute, AIST Artificial Intelligence Research Center, and the OpenMinTed H2020 project. Her tools support organizations like NICE, Cochrane, and Pfizer, and she co-founded the ACL SIGBioMed community to advance biomedical NLP.