Google
Google Scholar
MS Academic
CiteSeerX
CORE
Semantic ScholarBing Liu 0001
Person information
- affiliation: University of Illinois at Chicago
Other persons with the same name
- Bing Liu
- Bing Liu 0002 — University of South Australia
- Bing Liu 0003 — Google (and 1 more)
- Bing Liu 0004 — Universität Mannheim, Germany
- Bing Liu 0005 — University of Science and Technology of China, Hefei, Anhui, China
- Bing Liu 0006
- Bing Liu 0007 — Concordia University, Montreal, Canada
- Bing Liu 0008 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition
- Bing Liu 0009 — Fudan University
- Bing Liu 0010 — Huazhong University of Science and Technology, Department of Mathematics
- Bing Liu 0011 — Anshan Normal University, Department of Mathematics
- Bing Liu 0012 — Qualcomm (and 1 more)
- Bing Liu 0013 — National University of Singapore
- Bing Liu 0014 — Nanyang Technological University, School of Electrical and Electronic Engineering
- Bing Liu 0015 — University of Southern California
Refine list
refinements active!
zoomed in on ?? of ?? records
showing all ?? records
2010 – today
- 2017
[c158]Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao:
Bimodal Distribution and Co-Bursting in Review Spam Detection. WWW 2017: 1063-1072- [r4]Lei Zhang, Bing Liu:
Sentiment Analysis and Opinion Mining. Encyclopedia of Machine Learning and Data Mining 2017: 1152-1161 - [r3]Zhiyuan Chen, Bing Liu:
Topic Models for NLP Applications. Encyclopedia of Machine Learning and Data Mining 2017: 1276-1280 - 2016
- [b5]Zhiyuan Chen, Bing Liu:
Lifelong Machine Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2016 - [c157]Shuai Wang, Zhiyuan Chen, Bing Liu, Sherry Emery:
Identifying Search Keywords for Finding Relevant Social Media Posts. AAAI 2016: 3052-3058 - [c156]Shuai Wang, Zhiyuan Chen, Geli Fei, Bing Liu, Sherry Emery:
Targeted Topic Modeling for Focused Analysis. KDD 2016: 1235-1244 - [c155]Geli Fei, Shuai Wang, Bing Liu:
Learning Cumulatively to Become More Knowledgeable. KDD 2016: 1565-1574 - [c154]Zhiyuan Chen, Estevam R. Hruschka Jr., Bing Liu:
Lifelong Machine Learning and Computer Reading the Web. KDD 2016: 2117-2118 - [c153]Geli Fei, Bing Liu:
Breaking the Closed World Assumption in Text Classification. HLT-NAACL 2016: 506-514 - [c152]Konstantin Bauman, Bing Liu, Alexander Tuzhilin:
Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. CBRecSys@RecSys 2016: 19-22 - [c151]Shuai Wang, Zhiyuan Chen, Bing Liu:
Mining Aspect-Specific Opinion using a Holistic Lifelong Topic Model. WWW 2016: 167-176 - [i2]Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao:
Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors. CoRR abs/1611.06625 (2016) - 2015
- [b4]Bing Liu:
Sentiment Analysis - Mining Opinions, Sentiments, and Emotions. Cambridge University Press 2015, ISBN 978-1-10-701789-4, pp. I-XVI, 1-367 - [c150]Huayi Li, Arjun Mukherjee, Jianfeng Si, Bing Liu:
Extracting Verb Expressions Implying Negative Opinions. AAAI 2015: 2411-2417 - [c149]Zhiyuan Chen, Nianzu Ma, Bing Liu:
Lifelong Learning for Sentiment Classification. ACL (2) 2015: 750-756 - [c148]Geli Fei, Bing Liu:
Social Media Text Classification under Negative Covariate Shift. EMNLP 2015: 2347-2356 - [c147]Huayi Li, Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Jidong Shao:
Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns. ICWSM 2015: 634-637 - 2014
- [j26]Huayi Li, Bing Liu, Arjun Mukherjee, Jidong Shao:
Spotting Fake Reviews using Positive-Unlabeled Learning. Computación y Sistemas 18(3) (2014) - [j25]Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu:
Topic formation and development: a core-group evolving process. World Wide Web 17(6): 1343-1373 (2014) - [c146]Zhiyuan Chen, Arjun Mukherjee, Bing Liu:
Aspect Extraction with Automated Prior Knowledge Learning. ACL (1) 2014: 347-358 - [c145]Geli Fei, Zhiyuan Chen, Bing Liu:
Review Topic Discovery with Phrases using the Pólya Urn Model. COLING 2014: 667-676 - [c144]Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, Huayi Li:
Exploiting Social Relations and Sentiment for Stock Prediction. EMNLP 2014: 1139-1145 - [c143]Huayi Li, Arjun Mukherjee, Bing Liu, Rachel Kornfield, Sherry Emery:
Detecting Campaign Promoters on Twitter Using Markov Random Fields. ICDM 2014: 290-299 - [c142]Huayi Li, Zhiyuan Chen, Bing Liu, Xiaokai Wei, Jidong Shao:
Spotting Fake Reviews via Collective Positive-Unlabeled Learning. ICDM 2014: 899-904 - [c141]Zhiyuan Chen, Bing Liu:
Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data. ICML 2014: 703-711 - [c140]Zhiyuan Chen, Bing Liu:
Mining topics in documents: standing on the shoulders of big data. KDD 2014: 1116-1125 - [p2]Xiaoli Li, Bing Liu:
Rule-Based Classification. Data Classification: Algorithms and Applications 2014: 121-156 - 2013
- [c139]Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, Xiaotie Deng:
Exploiting Topic based Twitter Sentiment for Stock Prediction. ACL (2) 2013: 24-29 - [c138]Arjun Mukherjee, Bing Liu:
Discovering User Interactions in Ideological Discussions. ACL (1) 2013: 671-681 - [c137]Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Sharon Meraz:
Public Dialogue: Analysis of Tolerance in Online Discussions. ACL (1) 2013: 1680-1690 - [c136]Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Discovering coherent topics using general knowledge. CIKM 2013: 209-218 - [c135]
- [c134]Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Exploiting Domain Knowledge in Aspect Extraction. EMNLP 2013: 1655-1667 - [c133]Geli Fei, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Exploiting Burstiness in Reviews for Review Spammer Detection. ICWSM 2013 - [c132]Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Natalie S. Glance:
What Yelp Fake Review Filter Might Be Doing? ICWSM 2013 - [c131]Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Leveraging Multi-Domain Prior Knowledge in Topic Models. IJCAI 2013: 2071-2077 - [c130]Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Spotting opinion spammers using behavioral footprints. KDD 2013: 632-640 - [c129]Zhiyuan Chen, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Identifying Intention Posts in Discussion Forums. HLT-NAACL 2013: 1041-1050 - 2012
- [b3]Bing Liu:
Sentiment Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2012 - [j24]Zhongwu Zhai, Bing Liu, Jingyuan Wang, Hua Xu, Peifa Jia:
Product Feature Grouping for Opinion Mining. IEEE Intelligent Systems 27(4): 37-44 (2012) - [j23]Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu:
Identify Online Store Review Spammers via Social Review Graph. ACM TIST 3(4): 61:1-61:21 (2012) - [c128]
- [c127]Arjun Mukherjee, Bing Liu:
Aspect Extraction through Semi-Supervised Modeling. ACL (1) 2012: 339-348 - [c126]Jing Wang, Clement T. Yu, Philip S. Yu, Bing Liu, Weiyi Meng:
Diversionary comments under political blog posts. CIKM 2012: 1789-1793 - [c125]Geli Fei, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
A Dictionary-Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining. COLING (Posters) 2012: 309-318 - [c124]Arjun Mukherjee, Bing Liu:
Analysis of Linguistic Style Accommodation in Online Debates. COLING 2012: 1831-1846 - [c123]
- [c122]Arjun Mukherjee, Bing Liu, Natalie S. Glance:
Spotting fake reviewer groups in consumer reviews. WWW 2012: 191-200 - [p1]Bing Liu, Lei Zhang:
A Survey of Opinion Mining and Sentiment Analysis. Mining Text Data 2012: 415-463 - 2011
- [b2]Bing Liu:
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Second Edition. Data-Centric Systems and Applications, Springer 2011, ISBN 978-3-642-19459-7, pp. 1-603 - [j22]Guang Qiu, Bing Liu, Jiajun Bu, Chun Chen:
Opinion Word Expansion and Target Extraction through Double Propagation. Computational Linguistics 37(1): 9-27 (2011) - [c121]Zhongwu Zhai, Bing Liu, Lei Zhang, Hua Xu, Peifa Jia:
Identifying Evaluative Sentences in Online Discussions. AAAI 2011 - [c120]Lei Zhang, Bing Liu:
Identifying Noun Product Features that Imply Opinions. ACL (Short Papers) 2011: 575-580 - [c119]
- [c118]Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu:
Review Graph Based Online Store Review Spammer Detection. ICDM 2011: 1242-1247 - [c117]
- [c116]Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia:
Constrained LDA for Grouping Product Features in Opinion Mining. PAKDD (1) 2011: 448-459 - [c115]Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia:
Clustering product features for opinion mining. WSDM 2011: 347-354 - [c114]Arjun Mukherjee, Bing Liu, Junhui Wang, Natalie S. Glance, Nitin Jindal:
Detecting group review spam. WWW (Companion Volume) 2011: 93-94 - 2010
- [c113]Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng:
Distributional Similarity vs. PU Learning for Entity Set Expansion. ACL (Short Papers) 2010: 359-364 - [c112]Ee-Peng Lim, Viet-An Nguyen, Nitin Jindal, Bing Liu, Hady Wirawan Lauw:
Detecting product review spammers using rating behaviors. CIKM 2010: 939-948 - [c111]Nitin Jindal, Bing Liu, Ee-Peng Lim:
Finding unusual review patterns using unexpected rules. CIKM 2010: 1549-1552 - [c110]Enrique Amigó, Javier Artiles, Julio Gonzalo, Damiano Spina, Bing Liu, Adolfo Corujo:
WePS3 Evaluation Campaign: Overview of the On-line Reputation Management Task. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c109]Xiaowen Ding, Bing Liu:
Resolving Object and Attribute Coreference in Opinion Mining. COLING 2010: 268-276 - [c108]Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia:
Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints. COLING 2010: 1272-1280 - [c107]Lei Zhang, Bing Liu, Suk Hwan Lim, Eamonn O'Brien-Strain:
Extracting and Ranking Product Features in Opinion Documents. COLING (Posters) 2010: 1462-1470 - [c106]
- [c105]Xiaoli Li, Bing Liu, See-Kiong Ng:
Negative Training Data Can be Harmful to Text Classification. EMNLP 2010: 218-228 - [c104]Cindy Xide Lin, Yintao Yu, Jiawei Han, Bing Liu:
Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures. PAKDD (2) 2010: 222-229 - [c103]Nitin Jindal, Bing Liu:
A Generalized Tree Matching Algorithm Considering Nested Lists for Web Data Extraction. SDM 2010: 930-941 - [c102]Cindy Xide Lin, Bo Zhao, Tim Weninger, Jiawei Han, Bing Liu:
Entity relation discovery from web tables and links. WWW 2010: 1145-1146 - [e10]Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu:
ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4256-0 [contents] - [e9]Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu:
ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4257-7 [contents] - [e8]Brian D. Davison, Torsten Suel, Nick Craswell, Bing Liu:
Proceedings of the Third International Conference on Web Search and Web Data Mining, WSDM 2010, New York, NY, USA, February 4-6, 2010. ACM 2010, ISBN 978-1-60558-889-6 [contents]
2000 – 2009
- 2009
- [c101]Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu:
What's behind topic formation and development: a perspective of community core groups. CIKM 2009: 1843-1846 - [c100]Ramanathan Narayanan, Bing Liu, Alok N. Choudhary:
Sentiment Analysis of Conditional Sentences. EMNLP 2009: 180-189 - [c99]Andrea Vaccari, Francesco Calabrese, Bing Liu, Carlo Ratti:
Towards the SocioScope: an information system for the study of social dynamics through digital traces. GIS 2009: 52-61 - [c98]Lei Zhang, Bing Liu, Jeffrey Benkler, Chi Zhou:
Finding Actionable Knowledge via Automated Comparison. ICDE 2009: 1419-1430 - [c97]Guang Qiu, Bing Liu, Jiajun Bu, Chun Chen:
Expanding Domain Sentiment Lexicon through Double Propagation. IJCAI 2009: 1199-1204 - [c96]Xiaowen Ding, Bing Liu, Lei Zhang:
Entity discovery and assignment for opinion mining applications. KDD 2009: 1125-1134 - [c95]Xiaoli Li, Philip S. Yu, Bing Liu, See-Kiong Ng:
Positive Unlabeled Learning for Data Stream Classification. SDM 2009: 259-270 - [r2]Bing Liu:
Classification by Association Rule Analysis. Encyclopedia of Database Systems 2009: 335-340 - [r1]
- 2008
- [j21]Bing Liu, Alexander Tuzhilin:
Managing large collections of data mining models. Commun. ACM 51(2): 85-89 (2008) - [j20]Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael Steinbach, David J. Hand, Dan Steinberg:
Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1): 1-37 (2008) - [j19]Srinivasan Parthasarathy, Bing Liu:
Guest editorial. Statistical Analysis and Data Mining 1(1): 4-5 (2008) - [c94]
- [c93]Xin Li, Bing Liu, Philip S. Yu:
Time Sensitive Ranking with Application to Publication Search. ICDM 2008: 893-898 - [c92]
- [c91]Xiaowen Ding, Bing Liu, Philip S. Yu:
A holistic lexicon-based approach to opinion mining. WSDM 2008: 231-240 - [e7]Ying Li, Bing Liu, Sunita Sarawagi:
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008. ACM 2008, ISBN 978-1-60558-193-4 [contents] - 2007
- [b1]Bing Liu:
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Data-Centric Systems and Applications, Springer 2007, ISBN 978-3-540-37881-5, pp. 1-532 - [j18]Yanhong Zhai, Bing Liu:
Extracting Web Data Using Instance-Based Learning. World Wide Web(2): 113-132 (2007) - [j17]James Bennett, Charles Elkan, Bing Liu, Padhraic Smyth, Domonkos Tikk:
KDD Cup and workshop 2007. SIGKDD Explorations 9(2): 51-52 (2007) - [c90]Xiaoli Li, Bing Liu, See-Kiong Ng:
Learning to Classify Documents with Only a Small Positive Training Set. ECML 2007: 201-213 - [c89]
- [c88]Xiaoli Li, Bing Liu, See-Kiong Ng:
Learning to Identify Unexpected Instances in the Test Set. IJCAI 2007: 2802-2807 - [c87]
- [c86]
- [c85]
- [c84]
- 2006
- [j16]Yanhong Zhai, Bing Liu:
Structured Data Extraction from the Web Based on Partial Tree Alignment. IEEE Trans. Knowl. Data Eng. 18(12): 1614-1628 (2006) - [c83]
- [c82]
- [c81]Yanhong Zhai, Bing Liu:
Automatic Wrapper Generation Using Tree Matching and Partial Tree Alignment. AAAI 2006: 1687-1690 - [c80]Minqing Hu, Bing Liu:
Opinion Feature Extraction Using Class Sequential Rules. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 61-66 - [c79]Xin Li, Bing Liu, Philip S. Yu:
Mining Community Structure of Named Entities from Web Pages and Blogs. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 108-114 - [c78]Shenghua Bao, Yunbo Cao, Bing Liu, Yong Yu, Hang Li:
Mining Latent Associations of Objects Using a Typed Mixture Model--A Case Study on Expert/Expertise Mining. ICDM 2006: 803-807 - [c77]Bing Liu, Kaidi Zhao, Jeffrey Benkler, Weimin Xiao:
Rule interestingness analysis using OLAP operations. KDD 2006: 297-306 - [c76]Kaidi Zhao, Bing Liu, Jeffrey Benkler, Weimin Xiao:
Opportunity map: identifying causes of failure - a deployed data mining system. KDD 2006: 892-901 - [c75]Xin Li, Bing Liu, Philip S. Yu:
Discovering Overlapping Communities of Named Entities. PKDD 2006: 593-600 - [c74]
- [e6]Philip S. Yu, Vassilis J. Tsotras, Edward A. Fox, Bing Liu:
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, Arlington, Virginia, USA, November 6-11, 2006. ACM 2006, ISBN 1-59593-433-2 [contents] - [e5]Bamshad Mobasher, Olfa Nasraoui, Bing Liu, Brij M. Masand:
Advances in Web Mining and Web Usage Analysis, 6th International Workshop on Knowledge Discovery on the Web, WebKDD 2004, Seattle, WA, USA, August 22-25, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3932, Springer 2006, ISBN 978-3-540-47127-1 [contents] - 2005
- [c73]Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xiao:
Opportunity map: a visualization framework for fast identification of actionable knowledge. CIKM 2005: 60-67 - [c72]
- [c71]Greeshma Neglur, Robert L. Grossman, Bing Liu:
Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples. DILS 2005: 145-157 - [c70]
- [c69]Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xiao:
A Visual Data Mining Framework for Convenient Identification of Useful Knowledge. ICDM 2005: 530-537 - [c68]Leonardo Rigutini, Marco Maggini, Bing Liu:
An EM Based Training Algorithm for Cross-Language Text Categorization. Web Intelligence 2005: 529-535 - [c67]Philip S. Yu, Xin Li, Bing Liu:
Adding the Temporal Dimension to Search - A Case Study in Publication Search. Web Intelligence 2005: 543-549 - [c66]
- [c65]Bing Liu, Yanhong Zhai:
NET - A System for Extracting Web Data from Flat and Nested Data Records. WISE 2005: 487-495 - [c64]
- [c63]
- [c62]Bing Liu, Minqing Hu, Junsheng Cheng:
Opinion observer: analyzing and comparing opinions on the Web. WWW 2005: 342-351 - [e4]Chengqi Zhang, Qiang Yang, Bing Liu:
Guest Editors' Introduction: Special Section on Intelligent Data Preparation. IEEE Trans. Knowl. Data Eng. 17(9): 1163-1165 (2005) - 2004
- [j15]Bing Liu, Robert L. Grossman, Yanhong Zhai:
Mining Web Pages for Data Records. IEEE Intelligent Systems 19(6): 49-55 (2004) - [j14]