Talk:Bing Liu (computer scientist)

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Wiki Education Foundation-supported course assignment[edit]

This article was the subject of a Wiki Education Foundation-supported course assignment, between 15 February 2021 and 15 May 2021. Further details are available on the course page. Student editor(s): Denmum. Peer reviewers: Superunsubscriber, Thisismyusername31.

Above undated message substituted from Template:Dashboard.wikiedu.org assignment by PrimeBOT (talk) 18:01, 17 January 2022 (UTC)[reply]

Additions to Article[edit]

Detailed Information to be added to Academic Research Portion[edit]

More info on association rules for prediction[edit]

Association rule-based classification takes into account the relationships between each and all items in a dataset 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 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.[1]

More info on sentiment analysis[edit]

In a paper that Liu collaborated on, the authors studied the relationship between opinion lexicons 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 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 in providing updated opinion lists. Their algorithm only requires an initial word set (or opinion lexicon), 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.[2]

Articles(Peer-reviewed Article List)[edit]

  • Liu, Bing, Yiming Ma, Ching Kian Wong, and Philip S. Yu. 2003. “Scoring the Data Using Association Rules.” Applied Intelligence 18(2):119–35.[1]
  • Qiu, Guang, Bing Liu, Jiajun Bu, and Chun Chen. 2011. “Opinion Word Expansion and Target Extraction through Double Propagation.” Computational Linguistics 37(1):9–27.[2]
  • Wu, Xindong et al. 2007. “Top 10 Algorithms in Data Mining.” Knowledge and Information Systems 14(1):1–37.[3]
  • Liu, Bing. 1995. “A Unified Framework for Consistency Check.” International Journal of Intelligent Systems 10(8):691–713.[4]
  • Zhang, Lei, Shuai Wang, and Bing Liu. 2018. “Deep Learning for Sentiment Analysis: A Survey.” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8(4).[5]
  • Wang, Guan, Sihong Xie, Bing Liu, and Philip S. Yu. 2012. “Identify Online Store Review Spammers via Social Review Graph.” ACM Transactions on Intelligent Systems and Technology 3(4):1–21.[6]
  • Yu, Zeng et al. 2019. “Reconstruction of Hidden Representation for Robust Feature Extraction.” ACM Transactions on Intelligent Systems and Technology 10(2):1–24.[7]
  • Wang, Jing, Clement T. Yu, Philip S. Yu, Bing Liu, and Weiyi Meng. 2015. “Diversionary Comments under Blog Posts.” ACM Transactions on the Web 9(4):1–34.[8]
  • Bing Liu, Wynne Hsu, Lai-Fun Mun, and Hing-Yan Lee. 1999. “Finding Interesting Patterns Using User Expectations.” IEEE Transactions on Knowledge and Data Engineering 11(6):817–32.[9]
  • Yanhong Zhai and Bing Liu. 2006. “Structured Data Extraction from the Web Based on Partial Tree Alignment.” IEEE Transactions on Knowledge and Data Engineering 18(12):1614–28.[10]
  • Yu, Huilin, Tieyun Qian, Yile Liang, and Bing Liu. 2020. “AGTR: Adversarial Generation of Target Review for Rating Prediction.” Data Science and Engineering 5(4):346–59.[11]
  • Bing Liu. 1997. “Route Finding by Using Knowledge about the Road Network.” IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 27(4):436–48.[12]
  • Liu, Bing. 1993. “Problem Acquisition in Scheduling Domains.” Expert Systems with Applications 6(3):257–65.[13]
  • Liu, Bing. 1993. “Knowledge-Based Factory Scheduling: Resource Allocation and Constraint Satisfaction.” Expert Systems with Applications 6(3):349–59.[14]
  • Bing Liu, R. Grossman, and Yanhong Zhai. 2004. “Mining Web Pages for Data Records.” IEEE Intelligent Systems 19(06):49–55.[15]
  • Bing Liu, Wynne Hsu, Shu Chen, and Yiming Ma. 2000. “Analyzing the Subjective Interestingness of Association Rules.” IEEE Intelligent Systems 15(5):47–55.[16]
  • Liu, Bing and Alexander Tuzhilin. 2008. “Managing Large Collections of Data Mining Models.” Communications of the ACM 51(2):85–89.[17]
  • Liu, Qian, Zhiqiang Gao, Bing Liu, and Yuanlin Zhang. 2016. “Automated Rule Selection for Opinion Target Extraction.” Knowledge-Based Systems 104:74–88.[18]
  • Liu, Bing. 2017. “Lifelong Machine Learning: a Paradigm for Continuous Learning.” Frontiers of Computer Science 11(3):359–61.[19]
  • Poria, Soujanya, Ong Yew Soon, Bing Liu, and Lidong Bing. 2020. “Affect Recognition for Multimodal Natural Language Processing.” Cognitive Computation 13(2):229–30.[20]
  • Qian, Yuhua, Hang Xu, Jiye Liang, Bing Liu, and Jieting Wang. 2015. “Fusing Monotonic Decision Trees.” IEEE Transactions on Knowledge and Data Engineering 27(10):2717–28.[21]
  • Wang, Hao, Yan Yang, Bing Liu, and Hamido Fujita. 2019. “A Study of Graph-Based System for Multi-View Clustering.” Knowledge-Based Systems 163:1009–19.[22]
  • Li, Huayi, Bing Liu, Arjun Mukherjee, and Jidong Shao. 2014. “Spotting Fake Reviews Using Positive-Unlabeled Learning.” Computación y Sistemas 18(3).[23]
  • Zhai, Zhongwu, Bing Liu, Jingyuan Wang, Hua Xu, and Peifa Jia. 2012. “Product Feature Grouping for Opinion Mining.” IEEE Intelligent Systems 27(4):37–44.[24]
  • Apte, Chidanand, Bing Liu, Edwin P. Pednault, and Padhraic Smyth. 2002. “Business Applications of Data Mining.” Communications of the ACM 45(8):49–53.[25]
  • Li, Yanni et al. 2020. “ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering.” IEEE Transactions on Knowledge and Data Engineering 1–1.[26]
  • Liu, Bing. 2010. “Sentiment Analysis: A Multi-Faceted Problem.” IEEE Intelligent Systems.[27]
  • 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." Journal of Bioinformatics and Computational Biology 02(01):155–71.[28]
  • Liu, Bing et al. 1994. “Finding the Shortest Route Using Cases, Knowledge, and Djikstra's Algorithm.” IEEE Expert 9(5):7–11.[29]
  • Liu, Bing. 1994. "Specific Constraint Handling in Constraint Satisfaction Problems.” International Journal on Artificial Intelligence Tools 03(01):79–96.[30]

Bibliography[edit]

This bibliography is a compilation of sources(peer-reviewed academic journals) to build this article.

  • Wu, Xindong et al. 2007. “Top 10 Algorithms in Data Mining.” Knowledge and Information Systems 14(1):1–37.[31]
  • Liu, Bing. 1995. “A Unified Framework for Consistency Check.” International Journal of Intelligent Systems 10(8):691–713.[32]
  • Qiu, Guang, Bing Liu, Jiajun Bu, and Chun Chen. 2011. “Opinion Word Expansion and Target Extraction through Double Propagation.” Computational Linguistics 37(1):9–27.[33]
  • Zhang, Lei, Shuai Wang, and Bing Liu. 2018. “Deep Learning for Sentiment Analysis: A Survey.” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8(4).[34]
  • Wang, Guan, Sihong Xie, Bing Liu, and Philip S. Yu. 2012. “Identify Online Store Review Spammers via Social Review Graph.” ACM Transactions on Intelligent Systems and Technology 3(4):1–21.[35]
  • Yu, Zeng et al. 2019. “Reconstruction of Hidden Representation for Robust Feature Extraction.” ACM Transactions on Intelligent Systems and Technology 10(2):1–24.[36]
  • Wang, Jing, Clement T. Yu, Philip S. Yu, Bing Liu, and Weiyi Meng. 2015. “Diversionary Comments under Blog Posts.” ACM Transactions on the Web 9(4):1–34.[37]
  • Bing Liu, Wynne Hsu, Lai-Fun Mun, and Hing-Yan Lee. 1999. “Finding Interesting Patterns Using User Expectations.” IEEE Transactions on Knowledge and Data Engineering 11(6):817–32.[38]
  • Liu, Bing, Yiming Ma, Ching Kian Wong, and Philip S. Yu. 2003. “Scoring the Data Using Association Rules.” Applied Intelligence 18(2):119–35.[39]

Related/Background Articles:

  • Oueslati, O., Cambria, E., HajHmida, M. B., & Ounelli, H. (2020). "A review of sentiment analysis research in Arabic language." Future Generation Computer Systems, 112, 408-430. doi:10.1016/j.future.2020.05.034[40]
  • Bardhan, R., Sunikka-Blank, M., & Haque, A. N. (2019). "Sentiment analysis as tool for Gender MAINSTREAMING in slum rehabilitation housing management in Mumbai, India." Habitat International, 92, 102040. doi:10.1016/j.habitatint.2019.102040[41]
  • Wang, W., & Pan, S. J. (2020). "Syntactically meaningful and transferable recursive neural networks for aspect and opinion extraction." Computational Linguistics, 45(4), 705-736. doi:10.1162/coli_a_00362[42]
  • Zuheros, C., Martínez-Cámara, E., Herrera-Viedma, E., & Herrera, F. (2021). "Sentiment analysis BASED Multi-Person multi-criteria decision Making methodology using natural language processing and deep learning for smarter DECISION AID. case study of restaurant choice using TripAdvisor reviews." Information Fusion, 68, 22-36. doi:10.1016/j.inffus.2020.10.019[43]
  • Nguyen, P., Wang, X., Li, X., & Cotte, J. (2020). "Reviewing experts’ restraint from extremes and its impact on service providers." Journal of Consumer Research, 47(5), 654-674. doi:10.1093/jcr/ucaa037[44]
  • Chen, X., & Xie, H. (2020). "A structural topic modeling-based bibliometric study of sentiment analysis literature." Cognitive Computation, 12(6), 1097-1129. doi:10.1007/s12559-020-09745-1[45]
  • Huang, C., Jiang, W., Wu, J., & Wang, G. (2020). "Personalized review recommendation based on Users’ Aspect Sentiment." ACM Transactions on Internet Technology, 20(4), 1-26. doi:10.1145/3414841[46]
  • Zhu, P., Chen, Z., Zheng, H., & Qian, T. (2019). "Aspect aware learning for aspect category sentiment analysis." ACM Transactions on Knowledge Discovery from Data, 13(6), 1-21. doi:10.1145/3350487[47]
  • Joshi, A., Bhattacharyya, P., & Carman, M. J. (2017). "Automatic sarcasm detection." ACM Computing Surveys, 50(5), 1-22. doi:10.1145/3124420[48]
  • Reagan, A. J., Danforth, C. M., Tivnan, B., Williams, J. R., & Dodds, P. S. (2017). "Sentiment analysis methods for understanding large-scale texts: A case for using continuum-scored words and word shift graphs." EPJ Data Science, 6(1). doi:10.1140/epjds/s13688-017-0121-9[49]
  • Zimbra, D., Abbasi, A., Zeng, D., & Chen, H. (2018). "The state-of-the-art in Twitter sentiment analysis." ACM Transactions on Management Information Systems, 9(2), 1-29. doi:10.1145/3185045[50]

Extras:

  • Yanhong Zhai and Bing Liu. 2006. “Structured Data Extraction from the Web Based on Partial Tree Alignment.” IEEE Transactions on Knowledge and Data Engineering 18(12):1614–28.[51]
  • Yu, Huilin, Tieyun Qian, Yile Liang, and Bing Liu. 2020. “AGTR: Adversarial Generation of Target Review for Rating Prediction.” Data Science and Engineering 5(4):346–59.[52]
  • Bing Liu. 1997. “Route Finding by Using Knowledge about the Road Network.” IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 27(4):436–48.[53]
  • Liu, Bing. 1993. “Problem Acquisition in Scheduling Domains.” Expert Systems with Applications 6(3):257–65.[54]
  • Liu, Bing. 1993. “Knowledge-Based Factory Scheduling: Resource Allocation and Constraint Satisfaction.” Expert Systems with Applications 6(3):349–59.[55]
  • Bing Liu, R. Grossman, and Yanhong Zhai. 2004. “Mining Web Pages for Data Records.” IEEE Intelligent Systems 19(06):49–55.[56]
  • Bing Liu, Wynne Hsu, Shu Chen, and Yiming Ma. 2000. “Analyzing the Subjective Interestingness of Association Rules.” IEEE Intelligent Systems 15(5):47–55.[57]
  • Liu, Bing and Alexander Tuzhilin. 2008. “Managing Large Collections of Data Mining Models.” Communications of the ACM 51(2):85–89.[58]
  • Liu, Qian, Zhiqiang Gao, Bing Liu, and Yuanlin Zhang. 2016. “Automated Rule Selection for Opinion Target Extraction.” Knowledge-Based Systems 104:74–88.[59]
  • Liu, Bing. 2017. “Lifelong Machine Learning: a Paradigm for Continuous Learning.” Frontiers of Computer Science 11(3):359–61.[60]
  • Poria, Soujanya, Ong Yew Soon, Bing Liu, and Lidong Bing. 2020. “Affect Recognition for Multimodal Natural Language Processing.” Cognitive Computation 13(2):229–30.[61]
  • Qian, Yuhua, Hang Xu, Jiye Liang, Bing Liu, and Jieting Wang. 2015. “Fusing Monotonic Decision Trees.” IEEE Transactions on Knowledge and Data Engineering 27(10):2717–28.[62]
  • Wang, Hao, Yan Yang, Bing Liu, and Hamido Fujita. 2019. “A Study of Graph-Based System for Multi-View Clustering.” Knowledge-Based Systems 163:1009–19.[63]
  • Li, Huayi, Bing Liu, Arjun Mukherjee, and Jidong Shao. 2014. “Spotting Fake Reviews Using Positive-Unlabeled Learning.” Computación y Sistemas 18(3).[64]
  • Zhai, Zhongwu, Bing Liu, Jingyuan Wang, Hua Xu, and Peifa Jia. 2012. “Product Feature Grouping for Opinion Mining.” IEEE Intelligent Systems 27(4):37–44.[65]
  • Apte, Chidanand, Bing Liu, Edwin P. Pednault, and Padhraic Smyth. 2002. “Business Applications of Data Mining.” Communications of the ACM 45(8):49–53.[66]
  • Li, Yanni et al. 2020. “ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering.” IEEE Transactions on Knowledge and Data Engineering 1–1.[67]
  • Liu, Bing. 2010. “Sentiment Analysis: A Multi-Faceted Problem.” IEEE Intelligent Systems.[68]
  • 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." Journal of Bioinformatics and Computational Biology 02(01):155–71.[69]
  • Liu, Bing et al. 1994. “Finding the Shortest Route Using Cases, Knowledge, and Djikstra's Algorithm.” IEEE Expert 9(5):7–11.[70]
  • Liu, Bing. 1994. "Specific Constraint Handling in Constraint Satisfaction Problems.” International Journal on Artificial Intelligence Tools 03(01):79–96.[71]

References[edit]

  1. ^ a b Liu, Bing; Ma, Yiming; Wong, Ching Kian; Yu, Philip S. (2003). "Scoring the Data Using Association Rules". Applied Intelligence. 18 (2): 119–135. doi:10.1023/A:1021931008240.
  2. ^ a b Qiu, Guang; Liu, Bing; Bu, Jiajun; Chen, Chun (2011-03). "Opinion Word Expansion and Target Extraction through Double Propagation". Computational Linguistics. 37 (1): 9–27. doi:10.1162/coli_a_00034. ISSN 0891-2017. {{cite journal}}: Check date values in: |date= (help)
  3. ^ 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 (2008-01-01). "Top 10 algorithms in data mining". Knowledge and Information Systems. 14 (1): 1–37. doi:10.1007/s10115-007-0114-2. ISSN 0219-3116.
  4. ^ Liu, Bing (1995). "A unified framework for consistency check". International Journal of Intelligent Systems. 10 (8): 691–713. doi:10.1002/int.4550100802. ISSN 1098-111X.
  5. ^ Zhang, Lei; Wang, Shuai; Liu, Bing (2018). "Deep learning for sentiment analysis: A survey". WIREs Data Mining and Knowledge Discovery. 8 (4): e1253. doi:10.1002/widm.1253. ISSN 1942-4795.
  6. ^ Wang, Guan; Xie, Sihong; Liu, Bing; Yu, Philip S. (2012-09-01). "Identify Online Store Review Spammers via Social Review Graph". ACM Transactions on Intelligent Systems and Technology. 3 (4): 61:1–61:21. doi:10.1145/2337542.2337546. ISSN 2157-6904.
  7. ^ Yu, Zeng; Li, Tianrui; Yu, Ning; Pan, Yi; Chen, Hongmei; Liu, Bing (2019-01-12). "Reconstruction of Hidden Representation for Robust Feature Extraction". ACM Transactions on Intelligent Systems and Technology. 10 (2): 18:1–18:24. doi:10.1145/3284174. ISSN 2157-6904.
  8. ^ Wang, Jing; Yu, Clement T.; Yu, Philip S.; Liu, Bing; Meng, Weiyi (2015-09-24). "Diversionary Comments under Blog Posts". ACM Transactions on the Web. 9 (4): 18:1–18:34. doi:10.1145/2789211. ISSN 1559-1131.
  9. ^ Bing Liu; Wynne Hsu; Lai-Fun Mun; Hing-Yan Lee (Nov.-Dec./1999). "Finding interesting patterns using user expectations". IEEE Transactions on Knowledge and Data Engineering. 11 (6): 817–832. doi:10.1109/69.824588. {{cite journal}}: Check date values in: |date= (help)
  10. ^ Yanhong Zhai; Bing Liu (2006-12). "Structured Data Extraction from the Web Based on Partial Tree Alignment". IEEE Transactions on Knowledge and Data Engineering. 18 (12): 1614–1628. doi:10.1109/TKDE.2006.197. ISSN 1041-4347. {{cite journal}}: Check date values in: |date= (help)
  11. ^ Yu, Huilin; Qian, Tieyun; Liang, Yile; Liu, Bing (2020-12-01). "AGTR: Adversarial Generation of Target Review for Rating Prediction". Data Science and Engineering. 5 (4): 346–359. doi:10.1007/s41019-020-00141-1. ISSN 2364-1541.
  12. ^ Bing Liu (1997-07). "Route finding by using knowledge about the road network". IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 27 (4): 436–448. doi:10.1109/3468.594911. {{cite journal}}: Check date values in: |date= (help)
  13. ^ Liu, Bing (1993-07-01). "Problem acquisition in scheduling domains". Expert Systems with Applications. Special Issue: Scheduling Expert Systems and their Performances. 6 (3): 257–265. doi:10.1016/0957-4174(93)90054-A. ISSN 0957-4174.
  14. ^ Liu, Bing (1993-07-01). "Knowledge-based factory scheduling: Resource allocation and constraint satisfaction". Expert Systems with Applications. Special Issue: Scheduling Expert Systems and their Performances. 6 (3): 349–359. doi:10.1016/0957-4174(93)90060-J. ISSN 0957-4174.
  15. ^ Liu, B.; Grossman, R.; Yanhong Zhai (2004-11). "Mining Web pages for data records". IEEE Intelligent Systems. 19 (6): 49–55. doi:10.1109/MIS.2004.68. ISSN 1941-1294. {{cite journal}}: Check date values in: |date= (help)
  16. ^ Bing Liu; Wynne Hsu; Shu Chen; Yiming Ma (2000-09). "Analyzing the subjective interestingness of association rules". IEEE Intelligent Systems. 15 (5): 47–55. doi:10.1109/5254.889106. ISSN 1094-7167. {{cite journal}}: Check date values in: |date= (help)
  17. ^ Liu, Bing; Tuzhilin, Alexander (2008-02-01). "Managing large collections of data mining models". Communications of the ACM. 51 (2): 85–89. doi:10.1145/1314215.1314230. ISSN 0001-0782.
  18. ^ Liu, Qian; Gao, Zhiqiang; Liu, Bing; Zhang, Yuanlin (2016-07-15). "Automated rule selection for opinion target extraction". Knowledge-Based Systems. 104: 74–88. doi:10.1016/j.knosys.2016.04.010. ISSN 0950-7051.
  19. ^ Liu, Bing (2017-06-01). "Lifelong machine learning: a paradigm for continuous learning". Frontiers of Computer Science. 11 (3): 359–361. doi:10.1007/s11704-016-6903-6. ISSN 2095-2236.
  20. ^ Poria, Soujanya; Soon, Ong Yew; Liu, Bing; Bing, Lidong (2021-03-01). "Affect Recognition for Multimodal Natural Language Processing". Cognitive Computation. 13 (2): 229–230. doi:10.1007/s12559-020-09738-0. ISSN 1866-9964.
  21. ^ Qian, Y.; Xu, H.; Liang, J.; Liu, B.; Wang, J. (2015-10). "Fusing Monotonic Decision Trees". IEEE Transactions on Knowledge and Data Engineering. 27 (10): 2717–2728. doi:10.1109/TKDE.2015.2429133. ISSN 1558-2191. {{cite journal}}: Check date values in: |date= (help)
  22. ^ Wang, Hao; Yang, Yan; Liu, Bing; Fujita, Hamido (2019-01-01). "A study of graph-based system for multi-view clustering". Knowledge-Based Systems. 163: 1009–1019. doi:10.1016/j.knosys.2018.10.022. ISSN 0950-7051.
  23. ^ Li, Huayi; Liu, Bing; Mukherjee, Arjun; Shao, Jidong (2014-09-30). "Spotting Fake Reviews using Positive-Unlabeled Learning". Computación y Sistemas. 18 (3). doi:10.13053/cys-18-3-2035. ISSN 1405-5546.
  24. ^ Zhai, Zhongwu; Liu, Bing; Wang, Jingyuan; Xu, Hua; Jia, Peifa (2012-07). "Product Feature Grouping for Opinion Mining". IEEE Intelligent Systems. 27 (4): 37–44. doi:10.1109/MIS.2011.38. ISSN 1541-1672. {{cite journal}}: Check date values in: |date= (help)
  25. ^ Apte, Chidanand; Liu, Bing; Pednault, Edwin P. D.; Smyth, Padhraic (2002-08-01). "Business applications of data mining". Communications of the ACM. 45 (8): 49–53. doi:10.1145/545151.545178. ISSN 0001-0782.
  26. ^ Li, Yanni; Li, Hui; Wang, Zhi; Liu, Bing; Cui, Jiangtao; Fei, Hang (2020). "ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering". IEEE Transactions on Knowledge and Data Engineering: 1–1. doi:10.1109/TKDE.2020.2990196. ISSN 1041-4347.
  27. ^ "(PDF) Sentiment Analysis: A Multi-Faceted Problem". ResearchGate. Retrieved 2021-03-14.
  28. ^ Grossman, Robert; Kasturi, Pavan; Hamelberg, Donald; Liu, Bing (2004-03-01). "An empirical study of the universal chemical key algorithm for assigning unique keys to chemical compounds". Journal of Bioinformatics and Computational Biology. 02 (01): 155–171. doi:10.1142/S021972000400051X. ISSN 0219-7200.
  29. ^ Bing Liu; Siew-Hwee Choo; Shee-Ling Lok; Sing-Meng Leong; Soo-Chee Lee; Foong-Ping Poon; Hwee-Har Tan (1994-10). "Finding the shortest route using cases, knowledge, and Djikstra's algorithm". IEEE Expert. 9 (5): 7–11. doi:10.1109/64.331478. ISSN 0885-9000. {{cite journal}}: Check date values in: |date= (help)
  30. ^ Liu, Bing (1994-03). "SPECIFIC CONSTRAINT HANDLING IN CONSTRAINT SATISFACTION PROBLEMS". International Journal on Artificial Intelligence Tools. 03 (01): 79–96. doi:10.1142/S0218213094000066. ISSN 0218-2130. {{cite journal}}: Check date values in: |date= (help)
  31. ^ 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 (2008-01-01). "Top 10 algorithms in data mining". Knowledge and Information Systems. 14 (1): 1–37. doi:10.1007/s10115-007-0114-2. ISSN 0219-3116.
  32. ^ Liu, Bing (1995). "A unified framework for consistency check". International Journal of Intelligent Systems. 10 (8): 691–713. doi:10.1002/int.4550100802. ISSN 1098-111X.
  33. ^ Qiu, Guang; Liu, Bing; Bu, Jiajun; Chen, Chun (2011-03). "Opinion Word Expansion and Target Extraction through Double Propagation". Computational Linguistics. 37 (1): 9–27. doi:10.1162/coli_a_00034. ISSN 0891-2017. {{cite journal}}: Check date values in: |date= (help)
  34. ^ Zhang, Lei; Wang, Shuai; Liu, Bing (2018). "Deep learning for sentiment analysis: A survey". WIREs Data Mining and Knowledge Discovery. 8 (4): e1253. doi:10.1002/widm.1253. ISSN 1942-4795.
  35. ^ Wang, Guan; Xie, Sihong; Liu, Bing; Yu, Philip S. (2012-09-01). "Identify Online Store Review Spammers via Social Review Graph". ACM Transactions on Intelligent Systems and Technology. 3 (4): 61:1–61:21. doi:10.1145/2337542.2337546. ISSN 2157-6904.
  36. ^ Yu, Zeng; Li, Tianrui; Yu, Ning; Pan, Yi; Chen, Hongmei; Liu, Bing (2019-01-12). "Reconstruction of Hidden Representation for Robust Feature Extraction". ACM Transactions on Intelligent Systems and Technology. 10 (2): 18:1–18:24. doi:10.1145/3284174. ISSN 2157-6904.
  37. ^ Wang, Jing; Yu, Clement T.; Yu, Philip S.; Liu, Bing; Meng, Weiyi (2015-09-24). "Diversionary Comments under Blog Posts". ACM Transactions on the Web. 9 (4): 18:1–18:34. doi:10.1145/2789211. ISSN 1559-1131.
  38. ^ Bing Liu; Wynne Hsu; Lai-Fun Mun; Hing-Yan Lee (Nov.-Dec./1999). "Finding interesting patterns using user expectations". IEEE Transactions on Knowledge and Data Engineering. 11 (6): 817–832. doi:10.1109/69.824588. {{cite journal}}: Check date values in: |date= (help)
  39. ^ Liu, Bing; Ma, Yiming; Wong, Ching Kian; Yu, Philip S. (2003). "Scoring the Data Using Association Rules". Applied Intelligence. 18 (2): 119–135. doi:10.1023/A:1021931008240.
  40. ^ Oueslati, Oumaima; Cambria, Erik; HajHmida, Moez Ben; Ounelli, Habib (2020-11-01). "A review of sentiment analysis research in Arabic language". Future Generation Computer Systems. 112: 408–430. doi:10.1016/j.future.2020.05.034. ISSN 0167-739X.
  41. ^ Bardhan, Ronita; Sunikka-Blank, Minna; Haque, Anika Nasra (2019-10-01). "Sentiment analysis as tool for gender mainstreaming in slum rehabilitation housing management in Mumbai, India". Habitat International. 92: 102040. doi:10.1016/j.habitatint.2019.102040. ISSN 0197-3975.
  42. ^ Wang, Wenya; Pan, Sinno Jialin (2020-01). "Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction". Computational Linguistics. 45 (4): 705–736. doi:10.1162/coli_a_00362. ISSN 0891-2017. {{cite journal}}: Check date values in: |date= (help)
  43. ^ Zuheros, Cristina; Martínez-Cámara, Eugenio; Herrera-Viedma, Enrique; Herrera, Francisco (2021-04). "Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews". Information Fusion. 68: 22–36. doi:10.1016/j.inffus.2020.10.019. {{cite journal}}: Check date values in: |date= (help)
  44. ^ Nguyen, Peter; Wang, Xin (Shane); Li, Xi; Cotte, June (2021-01-20). Inman, J Jeffrey; Stephen, Andrew T (eds.). "Reviewing Experts' Restraint from Extremes and Its Impact on Service Providers". Journal of Consumer Research. 47 (5): 654–674. doi:10.1093/jcr/ucaa037. ISSN 0093-5301.
  45. ^ Chen, Xieling; Xie, Haoran (2020-11-01). "A Structural Topic Modeling-Based Bibliometric Study of Sentiment Analysis Literature". Cognitive Computation. 12 (6): 1097–1129. doi:10.1007/s12559-020-09745-1. ISSN 1866-9964.
  46. ^ Huang, Chunli; Jiang, Wenjun; Wu, Jie; Wang, Guojun (2020-11-08). "Personalized Review Recommendation based on Users' Aspect Sentiment". ACM Transactions on Internet Technology. 20 (4): 1–26. doi:10.1145/3414841. ISSN 1533-5399.
  47. ^ Zhu, Peisong; Chen, Zhuang; Zheng, Haojie; Qian, Tieyun (2019-12-17). "Aspect Aware Learning for Aspect Category Sentiment Analysis". ACM Transactions on Knowledge Discovery from Data. 13 (6): 1–21. doi:10.1145/3350487. ISSN 1556-4681.
  48. ^ Joshi, Aditya; Bhattacharyya, Pushpak; Carman, Mark J. (2017-11-13). "Automatic Sarcasm Detection: A Survey". ACM Computing Surveys. 50 (5): 1–22. doi:10.1145/3124420. ISSN 0360-0300.
  49. ^ Reagan, Andrew J.; Danforth, Christopher M.; Tivnan, Brian; Williams, Jake Ryland; Dodds, Peter Sheridan (2017/12). "Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs". EPJ Data Science. 6 (1): 1–21. doi:10.1140/epjds/s13688-017-0121-9. ISSN 2193-1127. {{cite journal}}: Check date values in: |date= (help)
  50. ^ Zimbra, David; Abbasi, Ahmed; Zeng, Daniel; Chen, Hsinchun (2018-08-24). "The State-of-the-Art in Twitter Sentiment Analysis: A Review and Benchmark Evaluation". ACM Transactions on Management Information Systems. 9 (2): 5:1–5:29. doi:10.1145/3185045. ISSN 2158-656X.
  51. ^ Yanhong Zhai; Bing Liu (2006-12). "Structured Data Extraction from the Web Based on Partial Tree Alignment". IEEE Transactions on Knowledge and Data Engineering. 18 (12): 1614–1628. doi:10.1109/TKDE.2006.197. ISSN 1041-4347. {{cite journal}}: Check date values in: |date= (help)
  52. ^ Yu, Huilin; Qian, Tieyun; Liang, Yile; Liu, Bing (2020-12-01). "AGTR: Adversarial Generation of Target Review for Rating Prediction". Data Science and Engineering. 5 (4): 346–359. doi:10.1007/s41019-020-00141-1. ISSN 2364-1541.
  53. ^ Bing Liu (1997-07). "Route finding by using knowledge about the road network". IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 27 (4): 436–448. doi:10.1109/3468.594911. {{cite journal}}: Check date values in: |date= (help)
  54. ^ Liu, Bing (1993-07-01). "Problem acquisition in scheduling domains". Expert Systems with Applications. Special Issue: Scheduling Expert Systems and their Performances. 6 (3): 257–265. doi:10.1016/0957-4174(93)90054-A. ISSN 0957-4174.
  55. ^ Liu, Bing (1993-07-01). "Knowledge-based factory scheduling: Resource allocation and constraint satisfaction". Expert Systems with Applications. Special Issue: Scheduling Expert Systems and their Performances. 6 (3): 349–359. doi:10.1016/0957-4174(93)90060-J. ISSN 0957-4174.
  56. ^ Liu, B.; Grossman, R.; Yanhong Zhai (2004-11). "Mining Web pages for data records". IEEE Intelligent Systems. 19 (6): 49–55. doi:10.1109/MIS.2004.68. ISSN 1941-1294. {{cite journal}}: Check date values in: |date= (help)
  57. ^ Bing Liu; Wynne Hsu; Shu Chen; Yiming Ma (2000-09). "Analyzing the subjective interestingness of association rules". IEEE Intelligent Systems. 15 (5): 47–55. doi:10.1109/5254.889106. ISSN 1094-7167. {{cite journal}}: Check date values in: |date= (help)
  58. ^ Liu, Bing; Tuzhilin, Alexander (2008-02-01). "Managing large collections of data mining models". Communications of the ACM. 51 (2): 85–89. doi:10.1145/1314215.1314230. ISSN 0001-0782.
  59. ^ Liu, Qian; Gao, Zhiqiang; Liu, Bing; Zhang, Yuanlin (2016-07-15). "Automated rule selection for opinion target extraction". Knowledge-Based Systems. 104: 74–88. doi:10.1016/j.knosys.2016.04.010. ISSN 0950-7051.
  60. ^ Liu, Bing (2017-06-01). "Lifelong machine learning: a paradigm for continuous learning". Frontiers of Computer Science. 11 (3): 359–361. doi:10.1007/s11704-016-6903-6. ISSN 2095-2236.
  61. ^ Poria, Soujanya; Soon, Ong Yew; Liu, Bing; Bing, Lidong (2021-03-01). "Affect Recognition for Multimodal Natural Language Processing". Cognitive Computation. 13 (2): 229–230. doi:10.1007/s12559-020-09738-0. ISSN 1866-9964.
  62. ^ Qian, Y.; Xu, H.; Liang, J.; Liu, B.; Wang, J. (2015-10). "Fusing Monotonic Decision Trees". IEEE Transactions on Knowledge and Data Engineering. 27 (10): 2717–2728. doi:10.1109/TKDE.2015.2429133. ISSN 1558-2191. {{cite journal}}: Check date values in: |date= (help)
  63. ^ Wang, Hao; Yang, Yan; Liu, Bing; Fujita, Hamido (2019-01-01). "A study of graph-based system for multi-view clustering". Knowledge-Based Systems. 163: 1009–1019. doi:10.1016/j.knosys.2018.10.022. ISSN 0950-7051.
  64. ^ Li, Huayi; Liu, Bing; Mukherjee, Arjun; Shao, Jidong (2014-09-30). "Spotting Fake Reviews using Positive-Unlabeled Learning". Computación y Sistemas. 18 (3). doi:10.13053/cys-18-3-2035. ISSN 1405-5546.
  65. ^ Zhai, Zhongwu; Liu, Bing; Wang, Jingyuan; Xu, Hua; Jia, Peifa (2012-07). "Product Feature Grouping for Opinion Mining". IEEE Intelligent Systems. 27 (4): 37–44. doi:10.1109/MIS.2011.38. ISSN 1541-1672. {{cite journal}}: Check date values in: |date= (help)
  66. ^ Apte, Chidanand; Liu, Bing; Pednault, Edwin P. D.; Smyth, Padhraic (2002-08-01). "Business applications of data mining". Communications of the ACM. 45 (8): 49–53. doi:10.1145/545151.545178. ISSN 0001-0782.
  67. ^ Li, Yanni; Li, Hui; Wang, Zhi; Liu, Bing; Cui, Jiangtao; Fei, Hang (2020). "ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering". IEEE Transactions on Knowledge and Data Engineering: 1–1. doi:10.1109/TKDE.2020.2990196. ISSN 1041-4347.
  68. ^ "(PDF) Sentiment Analysis: A Multi-Faceted Problem". ResearchGate. Retrieved 2021-03-14.
  69. ^ Grossman, Robert; Kasturi, Pavan; Hamelberg, Donald; Liu, Bing (2004-03-01). "An empirical study of the universal chemical key algorithm for assigning unique keys to chemical compounds". Journal of Bioinformatics and Computational Biology. 02 (01): 155–171. doi:10.1142/S021972000400051X. ISSN 0219-7200.
  70. ^ Bing Liu; Siew-Hwee Choo; Shee-Ling Lok; Sing-Meng Leong; Soo-Chee Lee; Foong-Ping Poon; Hwee-Har Tan (1994-10). "Finding the shortest route using cases, knowledge, and Djikstra's algorithm". IEEE Expert. 9 (5): 7–11. doi:10.1109/64.331478. ISSN 0885-9000. {{cite journal}}: Check date values in: |date= (help)
  71. ^ Liu, Bing (1994-03). "SPECIFIC CONSTRAINT HANDLING IN CONSTRAINT SATISFACTION PROBLEMS". International Journal on Artificial Intelligence Tools. 03 (01): 79–96. doi:10.1142/S0218213094000066. ISSN 0218-2130. {{cite journal}}: Check date values in: |date= (help)
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