Goran Nenadic

Goran Nenadic is a Professor in the Department of Computer Science at The University of Manchester. His research focuses on natural language processing and text mining, with an emphasis on extracting and curating knowledge from unstructured textual data. His work includes large-scale extraction of biomedical and clinical information, as well as text analytics in the healthcare domain. He leads the UK healthcare text analytics network (Healtex) and has been involved in various projects related to clinical text mining and health informatics. His research interests also encompass terminology extraction, classification, and management, as well as sentiment analysis from online resources.

Goran Nenadic is a researcher in the Department of Computer Science at the University of Manchester, specializing in natural language processing, text mining, and health informatics. His work focuses on developing computational methods for extracting meaningful information from unstructured text, particularly in biomedical and clinical contexts. Nenadic has contributed to various projects involving the analysis of clinical narratives, medication information extraction, and the application of machine learning techniques to health data. His research also explores the challenges of data sharing in electronic medical records and the use of text mining for mental health discussions on social media platforms.