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Research Associate
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I joined KMi as research associate in Oct 2011 after receiving my PhD in computing from the University of Exeter. My PhD study focused on developing statistical topic models for sentiment analysis from the Web.

My current research effort is mainly devoted to developing theoretically principled machine learning models for social media analysis and semantic Web applications.

Keys: Sentiment analysis, Machine learning, Probabilistic Bayesian modelling, natural language processing, Text mining


Publications | Download PDF  

Wibowo, A., Siddharthan, A., Masthoff, J. and Lin, C. (2018) Understanding how to Explain Package Recommendations in the Clothes Domain, Workshop: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS) at 12th ACM Conference on Recommender Systems (RecSys), Vancouver, Canada

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Wibowo, A., Siddharthan, A., Masthoff, J. and Lin, C. (2018) Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation, Proceedings of the 26th ACM Conference on User Modelling, Adaptation and Personalization (UMAP)

Publications | Download PDF  

Wibowo, A., Siddharthan, A., Lin, C. and Masthoff, J. (2017) Matrix Factorization for Package Recommendations, Workshop: Workshop on Recommendation in Complex Scenarios (ComplexRec 2017) at RecSys, Como, Italy

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

Barawi, M., Lin, C. and Siddharthan, A. (2017) Automatically Labelling Sentiment-Bearing Topics with Descriptive Sentence Labels, International Conference on Applications of Natural Language to Information Systems Lecture Notes in Computer Science, eds. Frasincar F., Ittoo A., Nguyen L., M�tais E, 10260, pp. 299-312, Springer, Cham

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

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Knowledge Media Institute
The Open University
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