Knowledge (XXG)

Bing Liu (computer scientist)

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a set of sentences. Double propagation is the back and forth functional process between the word set and topic as the word set updates itself. Some algorithms require set rules and thus are limited in what they can actually do and in what service they provide through updated opinion lists. Their algorithm only requires an initial word set, which is updated through finding relations between the words in the set and the target word or vice versa. The algorithm is done on a word population such as a set of sentences or a paragraph.
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probability of it being in that class is. Liu and his collaborators described a new association rule-based classification algorithm that takes into account the relationship between items and the positive and negative classes. Each item is given a probability or scoring of being in the positive class or the negative class. It then ranks the items as per which ones would be most likely to be in the positive class.
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and opinion targets. Opinion lexicons are word sets and opinion targets are topics on which there is an opinion. The authors of that paper discuss how their algorithm uses a limited opinion word set with the topic and through double propagation, one is able to form a more detailed opinion word set on
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and the class into which one is trying to classify that item. The basis is that there are two classes, a positive class and a negative class, into which one classifies items. Some classification algorithms only check if a case/item is in the positive class, without understanding how much exactly the
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Wu, Xindong; Kumar, Vipin; Ross Quinlan, J.; Ghosh, Joydeep; Yang, Qiang; Motoda, Hiroshi; McLachlan, Geoffrey J.; Ng, Angus; Liu, Bing; Yu, Philip S.; Zhou, Zhi-Hua (January 2008).
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Robert Grossman, Pavan Kasturi, Donald Hamelberg, and Bing Liu. 2004. "An Empirical Study of the Universal Chemical Key Algorithm for Assigning Unique Keys to Chemical Compounds."
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In a paper that Liu collaborated on, "Opinion Word Expansion and Target Extraction through Double Propagation", Qiu, Liu, Bu and Chen studied the relationship between opinion
1874: 1864: 152:"For significant contributions to data mining and development of widely used sentiment analysis, opinion spam detection, and Web mining algorithms." 92:
Two of his research papers published in KDD-1998 and KDD-2004 received KDD Test-of-Time awards in 2014 and 2015. In 2013, he was elected chair of
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Poria, Soujanya, Ong Yew Soon, Bing Liu, and Lidong Bing. 2020. “Affect Recognition for Multimodal Natural Language Processing.”
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Qiu, Guang, Bing Liu, Jiajun Bu, and Chun Chen. 2011. “Opinion Word Expansion and Target Extraction through Double Propagation.”
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Yu, Huilin, Tieyun Qian, Yile Liang, and Bing Liu. 2020. “AGTR: Adversarial Generation of Target Review for Rating Prediction.”
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Wang, Guan, Sihong Xie, Bing Liu, and Philip S. Yu. 2012. “Identify Online Store Review Spammers via Social Review Graph.”
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Li, Huayi, Bing Liu, Arjun Mukherjee, and Jidong Shao. 2014. “Spotting Fake Reviews Using Positive-Unlabeled Learning.”
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Bing Liu; Siew-Hwee Choo; Shee-Ling Lok; Sing-Meng Leong; Soo-Chee Lee; Foong-Ping Poon; Hwee-Har Tan (October 1994).
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Liu, Qian, Zhiqiang Gao, Bing Liu, and Yuanlin Zhang. 2016. “Automated Rule Selection for Opinion Target Extraction.”
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Bing Liu, Wynne Hsu, Shu Chen, and Yiming Ma. 2000. “Analyzing the Subjective Interestingness of Association Rules.”
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Zhai, Zhongwu, Bing Liu, Jingyuan Wang, Hua Xu, and Peifa Jia. 2012. “Product Feature Grouping for Opinion Mining.”
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that can reveal fake advertising. Also, he teaches the course "Data Mining" during the Fall and Spring semesters at
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Wang, Hao, Yan Yang, Bing Liu, and Hamido Fujita. 2019. “A Study of Graph-Based System for Multi-View Clustering.”
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Wang, Jing, Clement T. Yu, Philip S. Yu, Bing Liu, and Weiyi Meng. 2015. “Diversionary Comments under Blog Posts.”
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Bing Liu, Wynne Hsu, Lai-Fun Mun, and Hing-Yan Lee. 1999. “Finding Interesting Patterns Using User Expectations.”
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Apte, Chidanand, Bing Liu, Edwin P. Pednault, and Padhraic Smyth. 2002. “Business Applications of Data Mining.”
1700:"An Empirical Study of the Universal Chemical Key Algorithm for Assigning Unique Keys to Chemical Compounds" 230:
Yanhong Zhai and Bing Liu. 2006. “Structured Data Extraction from the Web Based on Partial Tree Alignment.”
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Liu, Bing, Yiming Ma, Ching Kian Wong, and Philip S. Yu. 2003. “Scoring the Data Using Association Rules.”
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David Streitfield (January 26, 2012). "For $ 2 a Star, an Online Retailer Gets 5-Star Product Reviews".
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Liu, Bing. 1993. “Knowledge-Based Factory Scheduling: Resource Allocation and Constraint Satisfaction.”
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Qian, Yuhua, Hang Xu, Jiye Liang, Bing Liu, and Jieting Wang. 2015. “Fusing Monotonic Decision Trees.”
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Liu, Bing et al. 1994. “Finding the Shortest Route Using Cases, Knowledge, and Djikstra's Algorithm.”
1854: 1785: 1699: 145:"For contributions to knowledge discovery and data mining, opinion mining, and sentiment analysis". 1680: 1633: 1586: 1539: 1492: 1472: 1453: 1365: 1318: 1298: 1279: 1193: 1012: 934: 887: 861: 830: 763: 732: 693: 588: 528: 471: 280: 78: 67: 1134: 1103: 610: 209:
Yu, Zeng et al. 2019. “Reconstruction of Hidden Representation for Robust Feature Extraction.”
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Zhang, Lei, Shuai Wang, and Bing Liu. 2018. “Deep Learning for Sentiment Analysis: A Survey.”
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Li, Yanni et al. 2020. “ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering.”
85:. He also made important contributions to learning from positive and unlabeled examples (or 31: 23: 74:. The course usually involves a project and various quiz/examinations as grading criteria. 1826: 1830: 411: 1848: 1684: 1337: 1150: 1135:"Knowledge-based factory scheduling: Resource allocation and constraint satisfaction" 1119: 655: 560: 367:
Liu, Bing. 1994. "Specific Constraint Handling in Constraint Satisfaction Problems.”
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Bing Liu, R. Grossman, and Yanhong Zhai. 2004. “Mining Web Pages for Data Records.”
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Apte, Chidanand; Liu, Bing; Pednault, Edwin P. D.; Smyth, Padhraic (August 2002).
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Liu, Bing. 2017. “Lifelong Machine Learning: a Paradigm for Continuous Learning.”
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Yu, Zeng; Li, Tianrui; Yu, Ning; Pan, Yi; Chen, Hongmei; Liu, Bing (2019-02-28).
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Wang, Jing; Yu, Clement T.; Yu, Philip S.; Liu, Bing; Meng, Weiyi (2015-10-26).
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IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
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IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
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Grossman, Robert; Kasturi, Pavan; Hamelberg, Donald; Liu, Bing (March 2004).
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Li, Yanni; Li, Hui; Wang, Zhi; Liu, Bing; Cui, Jiangtao; Fei, Hang (2020).
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Zhai, Zhongwu; Liu, Bing; Wang, Jingyuan; Xu, Hua; Jia, Peifa (July 2012).
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Qian, Yuhua; Xu, Hang; Liang, Jiye; Liu, Bing; Wang, Jieting (2015-10-01).
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Bing Liu. 1997. “Route Finding by Using Knowledge about the Road Network.”
1621: 1000: 81:(also called opinion mining), fake/deceptive opinion detection, and using 56:
Reinforcement Planning for Resource Allocation and Constraint Satisfaction
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Fellows of the Association for the Advancement of Artificial Intelligence
985:"Structured Data Extraction from the Web Based on Partial Tree Alignment" 952:
Bing Liu; Wynne Hsu; Lai-Fun Mun; Hing-Yan Lee (November–December 1999).
906: 849: 576: 561:"Opinion Word Expansion and Target Extraction through Double Propagation" 444: 108: 1574: 1228: 1181: 1088: 850:"Reconstruction of Hidden Representation for Robust Feature Extraction" 680: 121: 39: 1762: 1383:
Poria, Soujanya; Soon, Ong Yew; Liu, Bing; Bing, Lidong (March 2021).
969: 778: 751: 1032:"AGTR: Adversarial Generation of Target Review for Rating Prediction" 497:
Liu, Bing; Ma, Yiming; Wong, Ching Kian; Yu, Philip S. (2003-03-01).
96:, ACM Special Interest Group on Knowledge Discovery and Data Mining. 93: 922: 875: 801:
Wang, Guan; Xie, Sihong; Liu, Bing; Yu, Philip S. (September 2012).
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Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
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Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
1653:"ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering" 1510:
Li, Huayi; Liu, Bing; Mukherjee, Arjun; Shao, Jidong (2014-09-30).
866: 768: 1786:"Specific Constraint Handling in Constraint Satisfaction Problems" 1030:
Yu, Huilin; Qian, Tieyun; Liang, Yile; Liu, Bing (December 2020).
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Liu, Qian; Gao, Zhiqiang; Liu, Bing; Zhang, Yuanlin (July 2016).
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Wang, Hao; Yang, Yan; Liu, Bing; Fujita, Hamido (January 2019).
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Liu, Bing. 1993. “Problem Acquisition in Scheduling Domains.”
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Liu, Bing. 1995. “A Unified Framework for Consistency Check.”
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Wu, Xindong et al. 2007. “Top 10 Algorithms in Data Mining.”
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and Kenneth Williamson Currie, and his PhD thesis was titled
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Qiu, Guang; Liu, Bing; Bu, Jiajun; Chen, Chun (March 2011).
283:. 2008. “Managing Large Collections of Data Mining Models.” 107:
takes into account the relationships between each item in a
89:), Web data extraction, and interestingness in data mining. 1211:
Bing Liu; Wynne Hsu; Shu Chen; Yiming Ma (September 2000).
1512:"Spotting Fake Reviews using Positive-Unlabeled Learning" 1473:"A study of graph-based system for multi-view clustering" 1073:"Route finding by using knowledge about the road network" 1299:"Automated rule selection for opinion target extraction" 1790:
International Journal on Artificial Intelligence Tools
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Bing Liu; Grossman, R.; Yanhong Zhai (November 2004).
954:"Finding interesting patterns using user expectations" 854:
ACM Transactions on Intelligent Systems and Technology
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ACM Transactions on Intelligent Systems and Technology
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International Journal on Artificial Intelligence Tools
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ACM Transactions on Intelligent Systems and Technology
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ACM Transactions on Intelligent Systems and Technology
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Journal of Bioinformatics and Computational Biology
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IEEE Transactions on Knowledge and Data Engineering
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IEEE Transactions on Knowledge and Data Engineering
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IEEE Transactions on Knowledge and Data Engineering
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IEEE Transactions on Knowledge and Data Engineering
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Journal of Bioinformatics and Computational Biology
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IEEE Transactions on Knowledge and Data Engineering
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IEEE Transactions on Knowledge and Data Engineering
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IEEE Transactions on Knowledge and Data Engineering
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IEEE Transactions on Knowledge and Data Engineering
1252:"Managing large collections of data mining models" 1250:Liu, Bing; Tuzhilin, Alexander (February 2008). 752:"Deep learning for sentiment analysis: A survey" 750:Zhang, Lei; Wang, Shuai; Liu, Bing (July 2018). 426:"Bing Liu - The Mathematics Genealogy Project" 1559:"Product Feature Grouping for Opinion Mining" 8: 717:International Journal of Intelligent Systems 391:"On the internet, no one knows you're lying" 190:International Journal of Intelligent Systems 100:Research on Association Rules For Prediction 1104:"Problem acquisition in scheduling domains" 713:"A unified framework for consistency check" 499:"Scoring the Data Using Association Rules" 1400: 1047: 865: 777: 767: 679: 514: 983:Yanhong Zhai; Bing Liu (December 2006). 907:"Diversionary Comments under Blog Posts" 1875:Natural language processing researchers 381: 1865:University of Illinois Chicago faculty 1606:"Business applications of data mining" 609:. ACM. 8 December 2015. Archived from 105:Association rule-based classification 77:He is best known for his research on 7: 554: 552: 550: 548: 546: 544: 542: 492: 490: 488: 486: 484: 482: 1166:"Mining Web Pages for Data Records" 22:is a Chinese-American professor of 16:Chinese-American computer scientist 656:"Top 10 algorithms in data mining" 389:Christy Levy (February 19, 2013). 148:In 2016, he was elected Fellow of 14: 1426:"Fusing Monotonic Decision Trees" 660:Knowledge and Information Systems 183:Knowledge and Information Systems 44:University of Illinois at Chicago 1139:Expert Systems with Applications 1108:Expert Systems with Applications 260:Expert Systems with Applications 253:Expert Systems with Applications 141:In 2015, he was named Fellow of 134:In 2014, he was named Fellow of 83:association rules for prediction 633:"AAAI Fellows Elected in 2016" 116:Research on Sentiment Analysis 50:(1988). His PhD advisors were 1: 1342:Frontiers of Computer Science 430:Mathematics Genealogy Project 299:Frontiers of Computer Science 1860:American computer scientists 1489:10.1016/j.knosys.2018.10.022 1315:10.1016/j.knosys.2016.04.010 1151:10.1016/0957-4174(93)90060-J 1120:10.1016/0957-4174(93)90054-A 1036:Data Science and Engineering 239:Data Science and Engineering 911:ACM Transactions on the Web 218:ACM Transactions on the Web 36:natural language processing 1896: 1402:10.1007/s12559-020-09738-0 1049:10.1007/s41019-020-00141-1 449:Edinburgh Research Archive 162:Peer-reviewed Article List 46:. He holds a PhD from the 1802:10.1142/S0218213094000066 1716:10.1142/S021972000400051X 1669:10.1109/TKDE.2020.2990196 1610:Communications of the ACM 1442:10.1109/TKDE.2015.2429133 1354:10.1007/s11704-016-6903-6 1256:Communications of the ACM 672:10.1007/s10115-007-0114-2 565:Computational Linguistics 412:"Bing Liu CV - Biography" 341:Communications of the ACM 285:Communications of the ACM 176:Computational Linguistics 1829:publications indexed by 1784:Liu, Bing (March 1994). 1563:IEEE Intelligent Systems 1217:IEEE Intelligent Systems 1170:IEEE Intelligent Systems 334:IEEE Intelligent Systems 274:IEEE Intelligent Systems 267:IEEE Intelligent Systems 1477:Knowledge-Based Systems 1336:Liu, Bing (June 2017). 1303:Knowledge-Based Systems 1268:10.1145/1314215.1314230 1133:Liu, Bing (July 1993). 1102:Liu, Bing (July 1993). 819:10.1145/2337542.2337546 516:10.1023/A:1021931008240 320:Knowledge-Based Systems 292:Knowledge-Based Systems 48:University of Edinburgh 38:. In 2002, he became a 1528:10.13053/cys-18-3-2035 1516:ComputaciĂłn y Sistemas 1071:Bing Liu (July 1997). 729:10.1002/int.4550100802 327:ComputaciĂłn y Sistemas 1622:10.1145/545151.545178 1389:Cognitive Computation 1001:10.1109/TKDE.2006.197 306:Cognitive Computation 577:10.1162/coli_a_00034 503:Applied Intelligence 169:Applied Intelligence 1575:10.1109/MIS.2011.38 1229:10.1109/5254.889106 1182:10.1109/MIS.2004.68 1089:10.1109/3468.594911 26:who specializes in 711:Liu, Bing (1995). 613:on 9 December 2015 472:The New York Times 281:Alexander Tuzhilin 79:sentiment analysis 68:mathematical model 1763:10.1109/64.331478 1436:(10): 2717–2728. 995:(12): 1614–1628. 970:10.1109/69.824588 779:10.1002/widm.1253 443:Liu, Bin (1988). 129:Honors and awards 62:Academic research 1887: 1841: 1840: 1838:Official website 1814: 1813: 1781: 1775: 1774: 1742: 1736: 1735: 1695: 1689: 1688: 1648: 1642: 1641: 1601: 1595: 1594: 1554: 1548: 1547: 1507: 1501: 1500: 1468: 1462: 1461: 1421: 1415: 1414: 1404: 1380: 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Index

computer science
data mining
machine learning
natural language processing
scholar
University of Illinois at Chicago
University of Edinburgh
Austin Tate
mathematical model
UIC
sentiment analysis
association rules for prediction
PU learning
SIGKDD
Association rule-based classification
dataset
lexicons
IEEE
ACM
AAAI
Alexander Tuzhilin
"On the internet, no one knows you're lying"
"Bing Liu CV - Biography"
"Bing Liu - The Mathematics Genealogy Project"
"Reinforcement Planning for Resource Allocation and Constraint Satisfaction"
The New York Times



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