Yulan HeSenior Lecturer
I am interested in investigating machine learning techniques in enabling rich access to information. My current research interests are sentiment analysis and optinion mining; text mining; information extraction; natural language processing; business intelligence and data mining; machine learning; bioinformatics; spoken language understanding and information retrieval.
Keys: Sentiment analysis, opinion mining, information extraction, machine learning, natural language processing.
Huynh, T., He, Y., Willis, A. and Rüger, S. (2016) Adverse Drug Reaction Classification With Deep Neural Networks, Coling 2016, Osaka
Uren, V., Wright, D., Scott, J., He, Y. and Saif, H. (2016) Social media and sentiment in bioenergy consultation, International journal of energy sector management
Saif, H., He, Y., Fernandez, M. and Alani, H. (2016) Contextual semantics for sentiment analysis of Twitter, Information Processing and Management, 52, 1, pp. 5-19
, g., Mulholland, P., He, Y. and Alani, H. (2015) Predicting Answering Behaviour in Online Question Answering Communities, 26th Conference on Hypertext and Social Media, Cyprus
, g., He, Y., Mulholland, P. and Alani, H. (2015) Modelling Question Selection Behaviour in Online Communities, Poster at Companion Proceedings of the 2015 International Conference on the World Wide Web, Florence, Italy
Bayesian Models for Sentence-Level Subjectivity Detection
Techreport ID: kmi-10-02
Author(s): Yulan He