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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.

5 Most Recent External Publications

Publications | Visit External Site for Details

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

Publications | Visit External Site for Details

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

Publications | Download PDF Publications | Visit External Site for Details

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

Publications | Visit External Site for Details

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

Tech Report(s)


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

 
 
Knowledge Media Institute | The Open University | Juan Carlos He Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Future Internet is...


Future Internet
With over a billion users, today's Internet is arguably the most successful human artifact ever created. The Internet's physical infrastructure, software, and content now play an integral part of the lives of everyone on the planet, whether they interact with it directly or not. Now nearing its fifth decade, the Internet has shown remarkable resilience and flexibility in the face of ever increasing numbers of users, data volume, and changing usage patterns, but faces growing challenges in meetings the needs of our knowledge society. Globally, many major initiatives are underway to address the need for more scientific research, physical infrastructure investment, better education, and better utilisation of the Internet. Within Japan, USA and Europe major new initiatives have begun in the area.

To succeed the Future Internet will need to address a number of cross-cutting challenges including:

  • Scalability in the face of peer-to-peer traffic, decentralisation, and increased openness

  • Trust when government, medical, financial, personal data are increasingly trusted to the cloud, and middleware will increasingly use dynamic service selection

  • Interoperability of semantic data and metadata, and of services which will be dynamically orchestrated

  • Pervasive usability for users of mobile devices, different languages, cultures and physical abilities

  • Mobility for users who expect a seamless experience across spaces, devices, and velocities