Yulan He

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Deyu ZhouProfessor, School of computer science and engineering, SEUVerified email at seu.edu.cn
Ruifeng XuProfessor, Harbin Institute of Technology at ShenzhenVerified email at hit.edu.cn
Lin GuiAssistant Professor, King's College LondonVerified email at kcl.ac.uk
Harith AlaniProfessor at the Knowledge Media institute, Open University, UKVerified email at open.ac.uk
Chenghua LinSenior Lecturer in Natural Language Processing, University of SheffieldVerified email at sheffield.ac.uk
Hassan SaifHSBC - Financial Crime Threat MitigationVerified email at hsaif.net
Siu Cheung HuiAssociate Professor, School of Computer Engineering, Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
Wayne Xin ZhaoProfessor, Renmin University of ChinaVerified email at ruc.edu.cn
Stefan RuegerProfessor of Knowledge Media, Knowledge Media Institute, The Open UniversityVerified email at open.ac.uk
kam-Fai Wongchinese university of hong kongVerified email at se.cuhk.edu.hk
Steve YoungProfessor of Information EngineeringVerified email at eng.cam.ac.uk
Qin LuDepartment of Computing, Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Rob ProcterProfessor of Social Informatics, University of Warwick; Faculty Fellow, Alan Turing InstituteVerified email at warwick.ac.uk
Maria LiakataProfessor Queen Mary University of London/University of Warwick, Alan Turing Institute AI FellowVerified email at qmul.ac.uk

Yulan He

Professor, King's College London; Turing AI Fellow

Verified email at kcl.ac.uk - Homepage

Natural Language Processing Machine Reading Comprehension Sentiment Analysis Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Joint sentiment/topic model for sentiment analysis C Lin, Y He Proceedings of the 18th ACM conference on Information and knowledge …, 2009	1225	2009
Semantic sentiment analysis of twitter H Saif, Y He, H Alani The Semantic Web–ISWC 2012: 11th International Semantic Web Conference …, 2012	724	2012
Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN T Chen, R Xu, Y He, X Wang Expert Systems with Applications 72, 221-230, 2017	680	2017
Contextual semantics for sentiment analysis of Twitter H Saif, Y He, M Fernandez, H Alani Information Processing & Management 52 (1), 5-19, 2016	511	2016
Weakly supervised joint sentiment-topic detection from text C Lin, Y He, R Everson, S Ruger IEEE Transactions on Knowledge and Data engineering 24 (6), 1134-1145, 2011	405	2011
Evaluation datasets for Twitter sentiment analysis: a survey and a new dataset, the STS-Gold H Saif, M Fernandez, Y He, H Alani	331	2013
On stopwords, filtering and data sparsity for sentiment analysis of twitter H Saif, M Fernandez, Y He, H Alani	324	2014
Alleviating data sparsity for twitter sentiment analysis H Saif, Y He, H Alani CEUR Workshop Proceedings (CEUR-WS. org), 2012	279	2012
Self-training from labeled features for sentiment analysis Y He, D Zhou Information Processing & Management 47 (4), 606-616, 2011	246	2011
Connecting social media to e-commerce: Cold-start product recommendation using microblogging information WX Zhao, S Li, Y He, EY Chang, JR Wen, X Li IEEE Transactions on Knowledge and Data Engineering 28 (5), 1147-1159, 2015	231	2015
Computational methods for traditional Chinese medicine: a survey S Lukman, Y He, SC Hui Computer methods and programs in biomedicine 88 (3), 283-294, 2007	215	2007
Automatically extracting polarity-bearing topics for cross-domain sentiment classification Y He, C Lin, H Alani	200	2011
Semantic processing using the hidden vector state model Y He, S Young Computer speech & language 19 (1), 85-106, 2005	196	2005
We know what you want to buy: a demographic-based system for product recommendation on microblogs XW Zhao, Y Guo, Y He, H Jiang, Y Wu, X Li Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	193	2014
Approaches to automated detection of cyberbullying: A survey S Salawu, Y He, J Lumsden IEEE Transactions on Affective Computing 11 (1), 3-24, 2017	192	2017
Stance classification with target-specific neural attention networks J Du, R Xu, Y He, L Gui International Joint Conferences on Artificial Intelligence, 2017	181	2017
A question answering approach to emotion cause extraction L Gui, J Hu, Y He, R Xu, Q Lu, J Du arXiv preprint arXiv:1708.05482, 2017	147	2017
Mining a web citation database for author co-citation analysis Y He, SC Hui Information processing & management 38 (4), 491-508, 2002	144	2002
Adverse drug reaction classification with deep neural networks T Huynh, Y He, A Willis, S Rüger Coling, 2016	143	2016
A data-driven spoken language understanding system Y He, S Young 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE …, 2003	135	2003

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