A B C D E F G H I J K L M N O P Q R S T U V W X Y Z all

Alumni Member

Yulan He (Alumni) Member status icon

Senior Lecturer
Yulan He Photograph

Website Icon

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.

Projects

ROBUST

News

Publications

Publications | Download PDF Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

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

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

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

View all 89 publications

Tech Reports

View AbstractDownload PDF

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

View By

Research Themes

Latest Seminar
Prof Dene Grigar
Washington State University Vancouver

Electronic Literature: The challenges of born-digital fiction

Watch the live webcast

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team