An automated approach to quantifying functional interactions by mining large-scale product specification data

References

• Ahmed, S., S. Kim, and K. M. Wallace. 2007. “A Methodology for Creating Ontologies for Engineering Design.” Journal of Computing and Information Science in Engineering 7 (2): 132–140. doi:10.1115/1.2720879.
   Web of Science ®Google Scholar
• Alizon, F., S. B. Shooter, and T. W. Simpson. 2009. “Assessing and Improving Commonality and Diversity within a Product Family.” Research in Engineering Design 20 (4): 241–253. doi:10.1007/s00163-009-0066-5.
   Web of Science ®Google Scholar
• Arnold, S., and H. W. Lawson. 2004. “Viewing Systems from a Business Management Perspective: The ISO/IEC 15288 Standard.” Systems Engineering 7 (3): 229–242. doi:10.1002/sys.20006.
   Google Scholar
• Asur, S., and B. A. Huberman. 2010. “Predicting the Future with Social Media.” Web Intelligence and Intelligent Agent Technology (WI-IAT), IEEE/WIC/ACM International Conference, Vol. 1, 492–499, August 31–September 3. doi:10.1109/WI-IAT.2010.63.
   Google Scholar
• Batallas, D., and A. Yassine. 2006. “Information Leaders in Product Development Organizational Networks: Social Network Analysis of the Design Structure Matrix.” Engineering Management, IEEE Transactions 53 (4): 570–582. doi:10.1109/tem.2006.883706.
   Web of Science ®Google Scholar
• Baxter, J. E., N. P. Juster, and A. De Pennington. 1994. “A Functional Data Model for Assemblies Used to Verify Product Design Specifications.” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 208 (4): 235–244. doi:10.1243/PIME_PROC_1994_208_084_02.
   Web of Science ®Google Scholar
• Blei, D. M., A. Y. Ng, and M. I. Jordan. 2003. “Latent Dirichlet Allocation.” The Journal of Machine Learning Research 3: 993–1022. Retrieved from http://dl.acm.org/citation.cfm?id=944919.944937.
   Web of Science ®Google Scholar
• Bohm, M. R., and R. B. Stone. 2004. “Representing Functionality to Support Reuse: Conceptual and Supporting Functions.” ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference, 411–419. Salt Lake City, September 28–October 2. doi:10.1115/DETC2004-57693.
   Google Scholar
• Bollen, J., H. Mao, and X. Zeng. 2011. “Twitter Mood Predicts the Stock Market.” Journal of Computational Science 2 (1): 1–8. doi:10.1016/j.jocs.2010.12.007.
   Web of Science ®Google Scholar
• Bonjour, E., S. Deniaud, M. Dulmet, and G. Harmel. 2009. “A Fuzzy Method for Propagating Functional Architecture Constraints to Physical Architecture.” Journal of Mechanical Design 131 (6). doi:10.1115/1.3116253.
   Web of Science ®Google Scholar
• Browning, T. R. 2001. “Applying the Design Structure Matrix to System Decomposition and Integration Problems: A Review and new Directions.” IEEE Transactions on Engineering Management 48 (3): 292–306. doi:10.1109/17.946528.
   Web of Science ®Google Scholar
• Brunetti, G., and B. Golob. 2000. “A Feature-Based Approach Towards an Integrated Product Model Including Conceptual Design Information.” Computer-Aided Design 32 (14): 877–887. doi:10.1016/S0010-4485(00)00076-2.
   Web of Science ®Google Scholar
• Bryant, C., R. Stone, D. McAdams, T. Kurtoglu, and M. Campbell. 2005. “Concept Generation from the Functional Basis of Design.” International Conference on Engineering Design, ICED (Vol. 5). Melbourne, August 15–18.
   Google Scholar
• Cascini, G., and D. Russo. 2007. “Computer-aided Analysis of Patents and Search for TRIZ Contradictions.” International Journal of Product Development 4 (1): 52–67. doi:10.1504/IJPD.2007.011533.
   Google Scholar
• Christensen, C. M., S. Cook, and T. Hall. 2005. “Marketing Malpractice: The Cause and the Cure.” Harvard Business Review 83 (12): 74–83. https://hbr.org/2005/12/marketing-malpractice-the-cause-and-the-cure.
   PubMed Web of Science ®Google Scholar
• Dahmus, J. B., J. P. Gonzalez-Zugasti, and K. N. Otto. 2001. “Modular Product Architecture.” Design Studies 22 (5): 409–424. doi:10.1016/S0142-694X(01)00004-7.
   Google Scholar
• Daly, S. 2006. Automotive Air-Conditioning and Climate Control Systems. Burlington, MA: Elsevier/Butterworth-Heinemann.
   Google Scholar
• Danilovic, M., and T. R. Browning. 2007. “Managing Complex Product Development Projects with Design Structure Matrices and Domain Mapping Matrices.” International Journal of Project Management 25 (3): 300–314. doi:10.1016/j.ijproman.2006.11.003.
   Google Scholar
• Eckert, C. M., S. Martin, and E. Christopher. 2005. “References to Past Designs.” In Studying Designers 5.2005, edited by J. S. Gero and N. Bonnardel, 3–19. Sydney: Key Centre of Design Computing & Cognition.
   Google Scholar
• Eppinger, S. D. 1997. “A Planning Method for Integration of Large-scale Engineering Systems.” International Conference on Engineering Design, ICED, 199–204. Tampere, August 19–21.
   Google Scholar
• Eysenbach, G. 2011. “Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact.” Journal of Medical Interest Research 13 (4). doi:10.2196/jmir.2012.
   Google Scholar
• Fixson, S. K. 2007. “Modularity and Commonality Research: Past Developments and Future Opportunities.” Concurrent Engineering 15 (2): 85–111. doi:10.1177/1063293X07078935.
   Web of Science ®Google Scholar
• Ford Motor Company. 1989. Ford Service Model T Practical Methods for Repairing and Servicing Ford Cars 1919–1927. Detroit, MI: Ford Motor Company.
   Google Scholar
• Fujita, K., and K. Ishii. 1997. “Task Structuring Toward Computational Approaches to Product Variety Design.” Proceedings of the ASME International Design EngineeringTechnical Conferences. New York: ASME, September 14–17.
   Google Scholar
• Gamon, M., A. Aue, S. Corston-oliver, and E. Ringger. 2005. “Pulse: Mining Customer Opinions from Free Text.” IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis, 121–132. Springer Berlin Heidelberg, September 8–10. doi:10.1007/11552253_12.
   Google Scholar
• Gershenson, J. K., G. J. Prasad, and Y. Zhang. 2003. “Product Modularity: Definitions and Benefits.” Journal of Engineering Design 14 (3): 295–313. doi:10.1080/0954482031000091068.
   Web of Science ®Google Scholar
• Gershenson, J. K., G. J. Prasad, and Y. Zhang. 2004. “Product Modularity: Measures and Design Methods.” Journal of Engineering Design 15 (1): 33–51. doi:10.1080/0954482032000101731.
   Web of Science ®Google Scholar
• Ghani, R., K. Probst, Y. Liu, M. Krema, and A. Fano. 2006. “Text Mining for Product Attribute Extraction.” ACM SIGKDD Explorations Newsletter 8 (1): 41–48. doi:10.1145/1147234.1147241.
   Google Scholar
• Ginsberg, J., M. H. Mohebbi, R. S. Patel, L. Brammer, M. S. Smolinski, and L. Brilliant. 2009. “Detecting Influenza Epidemics Using Search Engine Query Data.” Nature 457 (7232): 1012–1014. doi:10.1038/nature07634.
   PubMed Web of Science ®Google Scholar
• Groote, S. De. 2005. “Construction of an F1 car.” http://www.f1technical.net/articles/1271.
   Google Scholar
• Gu, C.-C., J. Hu, Y.-H. Peng, and S. Li. 2012. “FCBS Model for Functional Knowledge Representation in Conceptual Design.” Journal of Engineering Design 23 (8): 577–596. doi:10.1080/09544828.2011.629318.
   Web of Science ®Google Scholar
• Helmer, R., A. a. Yassine, and C. Meier. 2010. “Systematic Module and Interface Definition Using Component Design Structure Matrix.” Journal of Engineering Design 21 (6): 647–675. doi:10.1080/09544820802563226.
   Web of Science ®Google Scholar
• Hirtz, J., R. B. Stone, D. A. McAdams, S. Szykman, and K. L. Wood. 2002. “A Functional Basis for Engineering Design: Reconciling and Evolving Previous Efforts.” Research in Engineering Design 13 (2): 65–82. doi:10.1007/s00163-001-0008-3.
   Web of Science ®Google Scholar
• Hong, E.-P., and G.-J. Park. 2014. “Modular Design Method Based on Simultaneous Consideration of Physical and Functional Relationships in the Conceptual Design Stage.” Journal of Mechanical Science and Technology 28 (1): 223–235. doi:10.1007/s12206-013-0956-3.
   Web of Science ®Google Scholar
• Huang, C. C., and A. Kusiak. 1998. “Modularity in Design of Products and Systems.” IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans 28 (1): 66–77. doi:10.1109/3468.650323.
   Web of Science ®Google Scholar
• Huang, H., C.-C. Liu, and X. J. Zhou. 2010. “Bayesian Approach to Transforming Public Gene Expression Repositories into Disease Diagnosis Databases.” Proceedings of the National Academy of Sciences of the United States of America 107 (15): 6823–6828. doi:10.1073/pnas.0912043107.
   PubMed Web of Science ®Google Scholar
• Huang, G. Q., and K. L. Mak. 1999. “Web-based Collaborative Conceptual Design.” Journal of Engineering Design 10 (2): 183–194. doi:10.1080/095448299261380.
   Web of Science ®Google Scholar
• Jiao, J. R., and C. Chen. 2006. “Customer Requirement Management in Product Development: A Review of Research Issues.” Concurrent Engineering 14 (3): 1–25. doi:10.1177/1063293X06068357.
   Web of Science ®Google Scholar
• Jiao, J., T. W. Simpson, and Z. Siddique. 2007. “Product Family Design and Platform-Based Product Development: A State-of-the-art Review.” Journal of Intelligent Manufacturing 18 (1): 5–29. doi:10.1007/s10845-007-0003-2.
   Web of Science ®Google Scholar
• Jose, A., and M. Tollenaere. 2005. “Modular and Platform Methods for Product Family Design: Literature Analysis.” Journal of Intelligent Manufacturing 16 (3): 371–390. doi:10.1007/s10845-005-7030-7.
   Web of Science ®Google Scholar
• Kahn, K. B., G. Castellion, and A. Griffin. 2005. The PDMA Handbook of new Product Development. Hoboken, NJ: Wiley.
   Google Scholar
• Kang, S. W., C. Sane, N. Vasudevan, and C. S. Tucker. 2013. “Product Resynthesis: Knowledge Discovery of the Value of end-of-Life Assemblies and Subassemblies.” ASME Journal of Mechanical Design 136 (1). doi:10.1115/1.4025526.
   Web of Science ®Google Scholar
• Karniel, A., and Y. Reich. 2012. “Multi-level Modelling and Simulation of new Product Development Processes.” Journal of Engineering Design 24 (3): 185–210. doi:10.1080/09544828.2012.720015.
   Web of Science ®Google Scholar
• Kim, K.-Y., D. G. Manley, and H. Yang. 2006. “Ontology-based Assembly Design and Information Sharing for Collaborative Product Development.” Computer-Aided Design 38 (12): 1233–1250. doi:10.1016/j.cad.2006.08.004.
   Web of Science ®Google Scholar
• Kurtoglu, T., M. I. Campbell, C. B. Arnold, R. B. Stone, and D. A. Mcadams. 2009. “A Component Taxonomy as a Framework for Computational Design Synthesis.” Journal of Computing and Information Science in Engineering 9 (1): 011007. doi:10.1115/1.3086032.
   Google Scholar
• Liang, Y., R. Tan, and J. Ma. 2008. “Patent Analysis with Text Mining for TRIZ.” 4th IEEE International Conference on Management of Innovation and Technology, 1147–1151. IEEE, September 21–24. doi:10.1109/ICMIT.2008.4654531.
   Google Scholar
• Martin, J. N. 2000. “Processes for Engineering a System: An Overview of the ANSI / EIA 632 Standard and Its Heritage.” Systems Engineering 3 (1): 1–26. doi:10.1002/(SICI)1520-6858(2000)3:1<1::AID-SYS1>3.0.CO;2-0.
   Google Scholar
• McAdams, D. A., R. B. Stone, and K. L. Wood. 1999. “Functional Interdependence and Product Similarity Based on Customer Needs.” Research in Engineering Design 11 (1): 1–19. doi:10.1007/s001630050001.
   Web of Science ®Google Scholar
• Menon, R., L. H. Tong, S. Sathiyakeerthi, A. Brombacher, and C. Leong. 2003. “The Needs and Benefits of Applying Textual Data Mining Within the Product Development Process.” Quality and Reliability Engineering International 20 (1): 1–15. doi:10.1002/qre.536.
   Web of Science ®Google Scholar
• Mudambi, S. M., and D. Schuff. 2010. “What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com.” MIS Quarterly 34 (1): 185–200. http://dl.acm.org/citation.cfm?id=2017447.2017457.
   Web of Science ®Google Scholar
• Munková Daša, M. Michal, and V. Martin. 2014. “Influence of Stop-words Removal on Sequence Patterns Identification within Comparable Corpora.” In ICT Innovations, edited by V. Trajkovik and M. Anastas (Vol. 231), 66–76. Cham: Springer. doi:10.1007/978-3-319-01466-1_6.
   Google Scholar
• Murphy, J., K. Fu, K. Otto, M. Yang, D. Jensen, and K. Wood. 2014. “Function Based Design-by-analogy: A Functional Vector Approach to Analogical Search.” Journal of Mechanical Design 136 (10): 101102. doi:10.1115/1.4028093.
   Web of Science ®Google Scholar
• Nagle, J. G. 1996. Handbook For Preparing Engineering Documents: From Concept To Completion. Piscataway, NJ: John Wiley.
   Google Scholar
• Paul, M. J., and M. Dredze. 2014. “Discovering Health Topics in Social Media using Topic Models.” PloS One 9 (8). doi:10.1371/journal.pone.0103408.
   Web of Science ®Google Scholar
• Petiot, J.-F., and S. Grognet. 2006. “Product Design: A Vectors Field-based Approach for Preference Modelling.” Journal of Engineering Design 17 (3): 217–233. doi:10.1080/09544820500275032.
   Web of Science ®Google Scholar
• Pimmler, T. U. 1994. A Development Methodology for Product Decomposition and Integration. Cambridge, MA: Massachusetts Institute of Technology (Dept. of Mechanical Engineering).
   Google Scholar
• Pimmler, T. U., and S. D. Eppinger. 1994. “Integration Analysis of Product Decompositions.” Proceedings of the 1994 ASME Design Theory and Methodology Conference (DTM'94), 342–351, September 11–14.
   Google Scholar
• Ramage, D., and E. Rosen. 2009. “Stanford Topic Modeling Toolbox.” Retrieved from http://nlp.stanford.edu/software/index.shtml.
   Google Scholar
• Rockwell, J. A., P. Witherell, I. Grosse, and S. Krishnamurty. 2008. “A Web-Based Environment for Documentation and Sharing of Engineering Design Knowledge.” ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference, 671–683. Brooklyn, New York, USA, August 3–6. doi:10.1115/DETC2008-50086.
   Google Scholar
• Romanowski, C. J., and R. Nagi. 2004. “A Data Mining Approach to Forming Generic Bills of Materials in Support of Variant Design Activities.” Journal of Computing and Information Science in Engineering 4: 316. doi:10.1115/1.1812556.
   Web of Science ®Google Scholar
• Sangelkar, S., and D. A. McAdams. 2013. “Mining Functional Model Graphs to Find Product Design Heuristics With Inclusive Design Illustration.” Journal of Computing and Information Science in Engineering 13 (4): 041008. doi:10.1115/1.4025469.
   Google Scholar
• Schilling, M. A. 2000. “Toward a General Modular Systems Theory and Its Application to Interfirm.” Academy of Management Review 25 (2): 312–334. doi:10.5465/AMR.2000.3312918.
   Web of Science ®Google Scholar
• Sen, C., J. D. Summers, and G. M. Mocko. 2010. “Topological Information Content and Expressiveness of Function Models in Mechanical Design.” Journal of Computing and Information Science in Engineering 10 (3). doi:10.1115/1.3462918.
   Web of Science ®Google Scholar
• Sharman, D. M., and A. A. Yassine. 2004. “Characterizing Complex Product Architectures.” Systems Engineering 7 (1): 35–60. doi:10.1002/sys.10056.
   Google Scholar
• Sheldon, J. G. 2009. How to Write a Patent Application. New York, NY: Practising Law Institute.
   Google Scholar
• Sheremetyeva, S., S. Nirenburg, and I. Nirenburg. 1996. “Generating Patent Claims from Interactive Input.” Proceedings of the Eighth International Workshop on Natural Language Generation, 61–70, June 12–15.
   Google Scholar
• Sosa, M. E., S. D. Eppinger, and C. M. Rowles. 2003. “Identifying Modular and Integrative Systems and Their Impact on Design Team Interactions.” Journal of Mechanical Design 125 (2): 240. doi:10.1115/1.1564074.
   Web of Science ®Google Scholar
• Sosa, M. E., S. D. Eppinger, and C. M. Rowles. 2004. “The Misalignment of Product Architecture and Organizational Structure in Complex Product Development.” Management Science 50 (12): 1674–1689. doi:10.1287/mnsc.1040.0289.
   Web of Science ®Google Scholar
• Steward, D. V. 1981. “Design Structure System: A Method for Managing the Design of Complex Systems.” IEEE Transactions on Engineering Management 28 (3): 71–74. doi:10.1109/TEM.1981.6448589.
   Web of Science ®Google Scholar
• Stone, R. B., R. Kurtadikar, N. Villanueva, and C. B. Arnold. 2008. “A Customer Needs Motivated Conceptual Design Methodology for Product Portfolio Planning.” Journal of Engineering Design 19 (6): 489–514. doi:10.1080/09544820802286711.
   Web of Science ®Google Scholar
• Stone, R. B., and K. L. Wood. 2000. “Development of a Functional Basis for Design.” Journal of Mechanical Design 122: 359. doi:10.1115/1.1289637.
   Web of Science ®Google Scholar
• Stone, R. B., K. L. Wood, and R. H. Crawford. 1999. “Product Architecture Development with Quantitative Functional Models.” Proceedings of the ASME 1999International Design EngineeringTechnical Conferences, September 12–15.
   Google Scholar
• Suh, N. P. 1984. “Development of the Science Base for the Manufacturing Field Through the Axiomatic Approach.” Robtics & Computer-Integrated Manufacturing 1 (3): 397–415. doi:10.1016/0736-5845(84)90030-9.
   Google Scholar
• Taura, T., and Y. Nagai. 2013. “Synthesis of Functions: Practice of Concept Generation (3).” In Concept Generation for Design Creativity, 133–149. London: Springer. doi:10.1007/978-1-4471-4081-8.
   Google Scholar
• Thevenot, H., and T. Simpson. 2006. “A Comprehensive Metric for Evaluating Component Commonality in a Product Family.” ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 823–832. Philadelphia: ASME, September 10–13. doi:10.1115/DETC2006-99268.
   Google Scholar
• Toutanova, K., and C. D. Manning. 2000. “Enriching the Knowledge Sources used in a Maximum Entropy Part-of-speech Tagger.” Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: Held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics-Volume 13, 63–70, October 7–8. doi:10.3115/1117794.1117802.
   Google Scholar
• Tseng, Y., C. Lin, and Y. Lin. 2007. “Text Mining Techniques for Patent Analysis.” Information Procsseing & Management 43 (5): 1216–1247. doi:10.1016/j.ipm.2006.11.011.
   Web of Science ®Google Scholar
• Tuarob, S., and C. S. Tucker. 2013. “Fad or here to Stay: Predicting Product Market Adoption and Longevity Using Large Scale, Social Media Data.” ASME International Design Engineering Conferences and Computers and Information in Engineering Conference, Portland, USA, August 4–7. doi:10.1115/DETC2013-12661.
   Google Scholar
• Tuarob, S., and C. S. Tucker. 2014. “Discovering Next Generation Product Innovations by Identifying Lead user Preferences Expressed through Large Scale Social Media Data.” ASME International Design EngineeringTechnical Conferences & Computers and Information in Engineering Conference. Buffalo, August 17–20. doi:10.1115/DETC2014-34767.
   Google Scholar
• Tuarob, S., and C. S. Tucker. 2015a. “Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks.” Journal of Mechanical Design 137 (7): 071402. doi:10.1115/1.4030049.
   Web of Science ®Google Scholar
• Tuarob, S., and C. S. Tucker. 2015b. “Quantifying Product Favorability and Extracting Notable Product Features using Large Scale Social Media Data.” Journal of Computing and Information Science in Engineering 15 (3): 031003. doi:10.1115/1.4029562.
   Web of Science ®Google Scholar
• Tuarob, S., C. S. Tucker, M. Salathe, and N. Ram. 2013. “Discovering Health-related Knowledge in Social Media using Ensembles of Heterogeneous Features.” Proceedings of the 22nd ACM international conference on Conference on information & knowledge management – CIKM'13, 1685–1690, October 27-November 1. doi:10.1145/2505515.2505629.
   Google Scholar
• Tucker, C. S., and S. W. Kang. 2012. “A Bisociative Design Framework for Knowledge Discovery Across Seemingly Unrelated Product Domains.” Proceesings of ASME 2012 International Design Engineering Conferences and Computers and Information in Engineering Conference. Chicago, USA, August 12–15. doi:10.1115/DETC2012-70764.
   Google Scholar
• Umeda, Y., S. Kondoh, Y. Shimomura, and T. Tomiyama. 2005. “Development of Design Methodology for Upgradable Products Based on Function–Behavior–State Modeling.” AIE EDAM 19 (3): 161–182. doi:10.1017/S0890060405050122.
   Web of Science ®Google Scholar
• Wei, C.-P., Y.-M. Chen, C.-S. Yang, and C. C. Yang. 2009. “Understanding What Concerns Consumers: A Semantic Approach to Product Feature Extraction from Consumer Reviews.” Information Systems and E-Business Management 8 (2): 149–167. doi:10.1007/s10257-009-0113-9.
   Web of Science ®Google Scholar
• Yang, C.-S., C.-P. Wei, and C. C. Yang. 2009. “Extracting Customer Knowledge from Online Consumer Reviews: A Collaborative-filtering-based Opinion Sentence Identification Approach.” Proceedings of the 11th International Conference on Electronic Commerce, 64–71, August 12–15.
   Google Scholar
• Yanhong, L., and T. Runhua. 2007. “A Text-mining-based Patent Analysis in Product Innovative Process.” In Trends in Computer Aided Innovation (Vol. 250), edited by Noel León-Rovira, 89–96. New York, NY: Springer.
   Google Scholar
• Yassine, A. A., and D. Braha. 2003. “Complex Concurrent Engineering and the Design Structure Matrix Method.” Concurrent Engineering 11 (3): 165–176. doi:10.1177/106329303034503.
   Web of Science ®Google Scholar
• Yoon, B., and Y. Park. 2004. “A Text-Mining-Based Patent Network: Analytical Tool for High-Technology Trend.” The Journal of High Technology Management Research 15 (1): 37–50. doi:10.1016/j.hitech.2003.09.003.
   Google Scholar
• Zhan, J., H. T. Loh, and Y. Liu. 2009. “Gather Customer Concerns from Online Product Reviews – A Text Summarization Approach.” Expert Systems with Applications 36 (2): 2107–2115. doi:10.1016/j.eswa.2007.12.039.
   Web of Science ®Google Scholar
• Zhang, X. (Luke), T. W. Simpson, M. Frecker, and G. Lesieutre. 2012. “Supporting Knowledge Exploration and Discovery in Multi-Dimensional Data with Interactive Multiscale Visualisation.” Journal of Engineering Design 23 (1): 23–47. doi:10.1080/09544828.2010.487260.
   Web of Science ®Google Scholar
• Zhou, F., R. Jianxin Jiao, and J. S. Linsey. 2015. “Latent Customer Needs Elicitation by Use Case Analogical Reasoning from Sentiment Analysis of Online Product Reviews.” Journal of Mechanical Design 137 (7): 071401. doi:10.1115/1.4030159.
   Web of Science ®Google Scholar