Publications

Lifelong Learning - learning as humans do

  • Zhiyuan Chen and Bing Liu. Mining Topics in Documents: Standing on the Shoulders of Big Data.. Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2014), August 24-27, New York, USA. [Code] [Dataset]

  • Zhiyuan Chen and Bing Liu. Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data. Proceedings of the 31st International Conference on Machine Learning (ICML 2014), June 21-26, Beijing, China. [Code] [Dataset]

  • Fake Review/Reviewers Detection

  • Huayi Li, Arjun Mukherjee, Bing Liu, Rachel Kornfieldz and Sherry Emery. Detecting Campaign Promoters on Twitter using Markov Random Fields. to appear in Proceedings of IEEE International Conference on Data Mining (ICDM-2014), December 14-17, 2014.

  • Huayi Li, Zhiyuan Chen, Bing Liu, Xiaokai Wei and Jidong Shao. Spotting Fake Reviews via Collective Positive-Unlabeled Learning. to appear in Proceedings of IEEE International Conference on Data Mining (ICDM-2014, short paper), December 14-17, 2014.

  • Tieyun Qian, Bing Liu. Identifying Multiple Userids of the Same Author. To appear in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2013), October 18-21, 2013, Seattle, USA.

  • Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Malu Castellanos, and Riddhiman Ghosh. Spotting Opinion Spammers using Behavioral Footprints. To appear in Proceedings of SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2013), August 11-14 2013 in Chicago, USA.

  • Arjun Mukherjee, Vivek Venkataraman, Bing Liu, and Natalie Glance. What Yelp Fake Review Filter Might Be Doing. Proceedings of The International AAAI Conference on Weblogs and Social Media (ICWSM-2013), July 8-10, 2013, Boston, USA.

  • Geli Fei, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malu Castellanos, and Riddhiman Ghosh. Exploiting Burstiness in Reviews for Review Spammer Detection. Proceedings of The International AAAI Conference on Weblogs and Social Media (ICWSM-2013), July 8-10, 2013, Boston, USA.

  • Arjun Mukherjee, Bing Liu, and Natalie Glance. Spotting Fake Reviewer Groups in Consumer Reviews. International World Wide Web Conference (WWW-2012), Lyon, France, April 16-20, 2012. (See media coverage of this work from April 16, 2012)

  • Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu. Identify Online Store Review Spammers via Social Review Graph. ACM Transactions on Intelligent Systems and Technology, accepted for publication, 2011.

  • Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu. Review Graph based Online Store Review Spammer Detection. ICDM-2011, 2011.

  • Arjun Mukherjee, Bing Liu, Junhui Wang, Natalie Glance, Nitin Jindal. Detecting Group Review Spam. WWW-2011 poster paper, 2011.

  • Nitin Jindal, Bing Liu and Ee-Peng Lim. "Finding Unusual Review Patterns Using Unexpected Rules" Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM-2010, short paper), Toronto, Canada, Oct 26 - 30, 2010.

  • Ee-Peng Lim, Viet-An Nguyen, Nitin Jindal, Bing Liu and Hady Lauw. "Detecting Product Review Spammers using Rating Behaviors." Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM-2010, full paper), Toronto, Canada, Oct 26 - 30, 2010.

  • Nitin Jindal and Bing Liu. "Opinion Spam and Analysis." Proceedings of First ACM International Conference on Web Search and Data Mining (WSDM-2008), Feb 11-12, 2008, Stanford University, Stanford, California, USA.

  • Nitin Jindal and Bing Liu. "Review Spam Detection." Proceedings of WWW-2007 (poster paper), May 8-12, Banff, Canada.
  • Opinion Mining, Sentiment Analysis

  • Huayi Li, Arjun Mukherjee, Jianfeng Si and Bing Liu. Extracting Verb Expressions Implying Negative Opinions. To appear in Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15). 2015

  • Zhiyuan Chen, Arjun Mukherjee, and Bing Liu. Aspect Extraction with Automated Prior Knowledge Learning. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), June 22-27, Baltimore, USA.

  • Qian Liu, Zhiqiang Gao, Bing Liu and Yuanlin Zhang. A Logic Programming Approach to Aspect Extraction in Opinion Mining. Proceedings of IEEE/WIC/ACM International Confernece on Web Intelligence (WI-2013), 2013.

  • Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malu Castellanos, and Riddhiman Ghosh. Exploiting Domain Knowledge in Aspect Extraction. Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2013), October 18-21, 2013, Seattle, USA.

  • Arjun Mukherjee, Vivek Venkataraman, Bing Liu, and Sharon Meraz. Public Dialogue: Analysis of Tolerance in Online Discussions. Proceedings of The 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013), August 4-9, 2013, Sofia, Bulgaria.

  • Arjun Mukherjee, Bing Liu. Discovering User Interactions in Ideological Discussions. Proceedings of The 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013), August 4-9, 2013, Sofia, Bulgaria.

  • Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, and Xiaotie Deng. Exploiting Topic based Twitter Sentiment for Stock Prediction. Proceedings of The 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013, short paper), August 4-9, 2013, Sofia, Bulgaria.

  • Zhiyuan Chen, Bing Liu, Meichun Hsu, Malu Castellanos, and Riddhiman Ghosh. Identifying Intention Posts in Discussion Forums. Proceedings of The 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT-2013), June 9-15, 2013, Atlanta, USA.

  • Bing Liu. Sentiment Analysis and Opinion Mining. Morgan & Claypool Publishers, May 2012.

  • Arjun Mukherjee and Bing Liu. Modeling Review Comments. Proceedings of 50th Annual Meeting of Association for Computational Linguistics (ACL-2012), July 8-14, 2012, Jeju, Republic of Korea.

  • Arjun Mukherjee and Bing Liu. Aspect Extraction through Semi-Supervised Modeling. Proceedings of 50th Annual Meeting of Association for Computational Linguistics (ACL-2012), July 8-14, 2012, Jeju, Republic of Korea.

  • Arjun Mukherjee and Bing Liu. Mining Contentions from Discussions and Debates. Proceedings of SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012), Aug. 12-16, 2012, Beijing, China.
  •