People | Alumni | Yulan He

Senior 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.

He, Y., Lin, C., Gao, W. and Wong, K. (2012) Dynamic Joint Sentiment-Topic Model, ACM Transactions on Intelligent Systems and Technology, In Press

Saif, H., He, Y. and Alani, H. (2012) Semantic Sentiment Analysis of Twitter, International Semantic Web Conference, Boston, US

Lin, C., He, Y., Pedrinaci, C. and Domingue, J. (2012) Feature LDA: a Supervised Topic Model for Automatic Detection of Web API Documentations from the Web, The 11th International Semantic Web Conference (ISWC), Boston, USA

He, Y., Lin, C. and Cano Basave, E. (2012) Online Sentiment and Topic Dynamics Tracking over the Streaming Data, IEEE International Conference on Social Computing (SocialCom), Amsterdam, The Nethelands

He, Y. (2012) A Bayesian Modeling Approach to Multi-Dimensional Sentiment Distributions Prediction, Workshop: Workshop on Issues of Sentiment Discovery and Opinion Mining at The 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

View all 72 publications



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