People | Member | 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.

Projects
ROBUST

He, Y. (2011) Incorporating Sentiment Prior Knowledge for Weakly-Supervised Sentiment Analysis, ACM Transactions on Asian Language Information Processing

Lin, C., He, Y. and Everson, R. (2011) Sentence Subjectivity Detection with Weakly-Supervised Learning, The 5th International Joint Conference on Natural Language Processing (IJCNLP), Chiang Mai, Thailand

Wagner, C., Strohmaier, M., , . and He, Y. (2011) Pragmatic metadata matters: How data about the usage of data effects semantic user models, Workshop: Social Data on the Web Workshop at 10th International Semantic Web Conference (ISWC), Bonn, Germany

Zhou, D. and He, Y. (2011) A Novel Framework of Training Hidden Markov Support Vector Machines from Lightly-Annotated Data, Poster at 20th ACM Conference on Information and Knowledge Management (CIKM), Glasgow, UK

Saif, H., He, Y. and Alani, H. (2011) Semantic Smoothing for Twitter Sentiment Analysis, Poster at The 10th International Semantic Web Conference (ISWC), Bonn, Germany

View all 61 publications



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