Alumni Member
Chenghua Lin (Alumni) 
Research Associate
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
News
Wibowo, A.T., Siddharthan, A., Masthoff, J.F.M. and Lin, C. (2018). Understanding how to Explain Package Recommendations in the Clothes Domain. In: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS) in the 12th ACM Conference on Recommender Systems (RecSys), 2018. https://oro.open.ac.uk/58718/.
He, Y., Lin, C., Gao, W. and Wong, K.F. (2017). Tracking Sentiment and Topic Dynamics from Social Media. In: Wong, Kam-Fai; Gao, Wei; Xu, Ruifeng and Li, Wenjie eds. Social Media Content Analysis Natural Language Processing and Beyond. Series on Language Processing, Pattern Recognition, and Intelligent Systems:, 5. World Scientific, pp. 457–465. https://oro.open.ac.uk/52178/.
He, Y., Lin, C., Gao, W. and Wong, K.F. (2013). Dynamic joint sentiment-topic model. ACM Transactions on Intelligent Systems and Technology, 5(1), https://oro.open.ac.uk/36255/.
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. In: The 11th International Semantic Web Conference (ISWC 2012), 11-15 Nov 2012, Boston, MA, USA. https://oro.open.ac.uk/36021/.
He, Y., Lin, C. and Cano Basave, A. (2012). Online sentiment and topic dynamics tracking over the streaming data. In: 2012 ASE International Conference on Social Computing (SocialCom 2012), 03-05 Sep 2012, Amsterdam, The Netherlands. https://oro.open.ac.uk/34893/.
Pedrinaci, C., Liu, D., Lin, C. and Domingue, J. (2012). Harnessing the crowds for automating the identification of Web APIs. In: AAAI Spring Symposium 2012, 26-28 Mar 2012, Stanford, California, USA. https://oro.open.ac.uk/33226/.
Liu, K., Lin, C. and Qiao, B. (2008). A multi-agent system for intelligent pervasive spaces. In: 2008 IEEE International Conference on Service Operations and Logistics, and Informatics (IEEE/SOLI'2008), 12-15 Oct 2008, Beijing, China. https://oro.open.ac.uk/32100/.
Lin, C., He, Y., Everson, R. and Rüger, S. (2012). Weakly-supervised joint sentiment-topic detection from text. IEEE Transactions on Knowledge and Data Engineering, 24(6), pp. 1134–1145. https://oro.open.ac.uk/31503/.
Lin, C., He, Y. and Everson, R. (2011). Sentence subjectivity detection with weakly-supervised learning. In: The 5th International Joint Conference on Natural Language Processing (IJCNLP 2011), 08-13 Nov 2011, Chiang Mai, Thailand. https://oro.open.ac.uk/29609/.
He, Y., Lin, C. and Alani, H. (2011). Automatically extracting polarity-bearing topics for cross-domain sentiment classification. In: 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 19-24 Jun 2011, Portland, Oregon, USA. https://oro.open.ac.uk/28546/.
He, Y. and Chenghua, L. (2009). Protein-protein interactions classification from text via local learning with class priors. In: 14th International Conference on Applications of Natural Language to Information Systems, 23-26 Jun 2009, Saarbrücken, Germany. https://oro.open.ac.uk/24607/.
Lin, C., He, Y. and Everson, R. (2010). A comparative study of Bayesian models for unsupervised sentiment detection. In: The 14th Conference on Computational Natural Language Learning (CoNLL-2010), 15-16 Jul 2010, Uppsala, Sweden. https://oro.open.ac.uk/23784/.
Lin, C. and He, Y. (2009). Joint sentiment/topic model for sentiment analysis. In: The 18th ACM Conference on Information and Knowledge Management (CIKM), 11 Nov 2010, Hong Kong, China. https://oro.open.ac.uk/23786/.
