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Seminar: SocialTree: Socially Augmented Structured Summaries of News Stories

Seminar: SocialTree: Socially Augmented Structured Summaries of News Stories - Georgiana Ifrim (UCD)

Venue: G316, Newman Building, UCD

Date: 27 November 2019

14:00-15:00 - Connected_Politics Workshop: creating structured summaries of news stories.

Dr. Georgiana Ifrim is an Assistant Professor at the School of Computer Science, University College Dublin, Co-Lead on the SFI Centre for Research Training in Machine Learning (ML-Labs) and SFI Funded Investigator with the Insight Centre for Data Analytics and VistaMilk research centres. She is the Director of Graduate Research at the School of Computer Science, UCD.  Dr. Ifrim's research focuses on developing scalable predictive models for machine learning and data mining applications. She has developed new methods for sequence learning, time series classification, text mining and real-time prediction for news and social streams. Dr. Ifrim has worked in application domains ranging from Web mining, news and social media, energy, biology and sports science. Her current research focuses on the design of efficient and interpretable learning models for sequences (e.g., DNA, time series), and on real-time prediction for streaming data (text mining for news and social media).