Researcher

Sophia Ananiadou

Sophia Ananiadou researches natural language processing and text mining. Her work includes extracting technical terms, scientific events and information for evidence reviews. She played a leading role in creating NaCTeM and researches terminology, information extraction, summarization and document analysis. Her research produced the C-value method and TerMine service. EventMine was evaluated in BioNLP 2011 and 2013 tasks. The work concerns extracting complex scientific events, including pathways and infectious-disease information. She collaborated with NICE on RobotAnalyst, which combines machine learning and text mining to support search and screening in systematic reviews.

Photo of Sophia Ananiadou

Timeline

  1. 2011–2013

    Extracting events from scientific text

    EventMine was evaluated in BioNLP 2011 and 2013 tasks. The work concerns extracting complex scientific events, including pathways and infectious-disease information.

  2. As of October 2026

    Text mining research

    She played a leading role in creating NaCTeM and researches terminology, information extraction, summarization and document analysis. Her research produced the C-value method and TerMine service.

  3. As of October 2026

    Tools for systematic reviews

    She collaborated with NICE on RobotAnalyst, which combines machine learning and text mining to support search and screening in systematic reviews.

Sources and credits

Photo: Computer Science Manchester, via Wikimedia Commons. License: CC BY 2.0. Source: commons.wikimedia.org. Cropped to a square and resized. Ask us to remove or replace this photo.

  1. Sophia Ananiadou manchester.ac.uk. Checked 13 October 2026.