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Yulan He (Alumni) Member status icon

Senior Lecturer
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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.

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Huynh, T., He, Y., Willis, A. and Rüger, S. (2016) Adverse Drug Reaction Classification With Deep Neural Networks, Coling 2016, Osaka

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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

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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

Publications | Visit External Site for Details  

, 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

Publications | Visit External Site for Details Publications | Visit External Site for Details  

, 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

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Tech Reports

View AbstractDownload PDF

Bayesian Models for Sentence-Level Subjectivity Detection
Techreport ID: kmi-10-02
Date: 2010
Author(s): Yulan He

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Latest Seminar
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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The Open University
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