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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 | Visit External Site for Details  

Peng, X., Zheng, Y., Lin, C. and Siddharthan, A. (2021) Summarising Historical Text in Modern Languages, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics

Publications | Visit External Site for Details  

Barawi, M., Lin, C., Siddharthan, A. and Liu, Y. (2019) Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics, Frontiers of Computer Science, pp. (In Press), Springer

Publications | Download PDF Publications | Visit External Site for Details  

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)

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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

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Latest Seminar
Dr. Siān Lindley
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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