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Research Article

Explainable neural network-based approach to Kano categorisation of product features from online reviews

ORCID Icon & ORCID Icon
Pages 7053-7073 | Received 19 Mar 2021, Accepted 18 Oct 2021, Published online: 16 Nov 2021

References

  • Abulaish, M., Jahiruddin, M. N. Doja, and T. Ahmad. 2009. “Feature and Opinion Mining for Customer Review Summarization.In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence.New Delhi, India.16-20 December.
  • Archak, N., A. Ghose, and P. G. Ipeirotis. 2007. “Show Me the Money! Deriving the Pricing Power of Product Features by Mining Consumer Reviews.In Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining.San Jose, CA, USA.12-15 August.
  • Archak, N., A. Ghose, and P. G. Ipeirotis. 2011. “Deriving the Pricing Power of Product Features by Mining Consumer Reviews.” Management Science 57 (8): 1485–1509.
  • Bekkar, M., H. K. Djemaa, and T. A. Alitouche. 2013. “Evaluation Measures for Models Assessment Over Imbalanced Data Sets.” J Inf Eng Appl 3 (10): 27–29.
  • Bi, J. W., Y. Liu, Z. P. Fan, and E. Cambria. 2019. “Modelling Customer Satisfaction From Online Reviews Using Ensemble Neural Network and Effect-Based Kano Model.” International Journal of Production Research 57 (22): 7068–7088.
  • Bi, J. W., Y. Liu, Z. P. Fan, and J. Zhang. 2019. “Wisdom of Crowds: Conducting Importance-Performance Analysis (ipa) Through Online Reviews.” Tourism Management 70: 460–478.
  • Bigorra, A. M., O. Isaksson, and M. Karlberg. 2019. “Aspect-Based Kano Categorization.” International Journal of Information Management 46: 163–172.
  • Brandt, D. R. 1988. “How Service Marketers Can Identify Value-Enhancing Service Elements.” Journal of Services Marketing 2 (3): 35–41.
  • Chu, C. W., and G. P. Zhang. 2003. “A Comparative Study of Linear and Nonlinear Models for Aggregate Retail Sales Forecasting.” International Journal of Production Economics 86 (3): 217–231.
  • Culotta, A., and J. Cutler. 2016. “Mining Brand Perceptions From Twitter Social Networks.” Marketing Science 35 (3): 343–362.
  • Davies, D. L., and D. W. Bouldin. 1979. “A Cluster Separation Measure.” IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-1 (2): 224–227.
  • Delice, E. K., and Z. Güngör. 2013. “Determining Design Requirements in Qfd Using Fuzzy Mixed-Integer Goal Programming: Application of a Decision Support System.” International Journal of Production Research 51 (21): 6378–6396.
  • Deng, W. J., W. C. Chen, and W. Pei. 2008. “Back-Propagation Neural Network Based Importance–Performance Analysis for Determining Critical Service Attributes.” Expert Systems with Applications 34 (2): 1115–1125.
  • Dos Santos, C., and M. Gatti. 2014. “Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts.In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics.Dublin, Ireland.23-29 August.
  • Frey, B. J., and D. Dueck. 2007. “Clustering by Passing Messages Between Data Points.” Science 315 (5814): 972–976.
  • Friedman, J., T. Hastie, and R. Tibshirani. 2001. The Elements of Statistical Learning. Vol. 1. Springer Series in Statistics. New York: Springer.
  • Geng, X., and X. Chu. 2012. “A New Importance–Performance Analysis Approach for Customer Satisfaction Evaluation Supporting Pss Design.” Expert Systems with Applications 39 (1): 1492–1502.
  • Ghorbani, M., S. Mohammad Arabzad, and A. Shahin. 2013. “A Novel Approach for Supplier Selection Based on the Kano Model and Fuzzy Mcdm.” International Journal of Production Research 51 (18): 5469–5484.
  • Gilbert, C., and E. Hutto. 2014. Vader: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text.” In Eighth International Conference on Weblogs and Social Media (ICWSM-14). Vols. 81, 82. Accessed 20 April 2016. http://comp.social.gatech.edu/papers/icwsm14.vader.hutto.pdf.
  • Groves, R. M. 2006. “Nonresponse Rates and Nonresponse Bias in Household Surveys.” Public Opinion Quarterly 70 (5): 646–675.
  • Guo, H., H. Zhu, Z. Guo, X. Zhang, and Z. Su. 2009. “Product Feature Categorization with Multilevel Latent Semantic Association.In Proceedings of the 18th ACM Conference on Information and Knowledge Management.Hong Kong, China.2-6 November.
  • He, L., Z. Wu, W. Xiang, M. Goh, Z. Xu, W. Song, X. Ming, and X. Wu. 2020. “A Novel Kano-QFD-Dematel Approach to Optimise the Risk Resilience Solution for Sustainable Supply Chain.” International Journal of Production Research 59 (6): 1–22.
  • Hu, N., P. A. Pavlou, and J. Zhang. 2009. “Why Do Product Reviews Have a J-Shaped Distribution.” Communications of the ACM 52 (10): 144–147.
  • Jeong, B., J. Yoon, and J. M. Lee. 2019. “Social Media Mining for Product Planning: A Product Opportunity Mining Approach Based on Topic Modeling and Sentiment Analysis.” International Journal of Information Management 48: 280–290.
  • Ji, P., J. Jin, T. Wang, and Y. Chen. 2014. “Quantification and Integration of Kano's Model Into Qfd for Optimising Product Design.” International Journal of Production Research 52 (21): 6335–6348.
  • Joung, J., and H. Kim. 2020. “An LDA-Based Approach for Product Attribute Identification from Online Customer Reviews.” http://hdl.handle.net/2142/106121.
  • Joung, J., and H. Kim. 2021. “Approach for Importance-Performance Analysis of Product Attributes From Online Reviews.” http://hdl.handle.net/2142/106121.
  • Kano, N. 1984. “Attractive Quality and Must-Be Quality.” Hinshitsu (Quality, The Journal of Japanese Society for Quality Control) 14: 39–48.
  • Lee, Y. C., and S. Y. Huang. 2009. “A New Fuzzy Concept Approach for Kano's Model.” Expert Systems with Applications 36 (3): 4479–4484.
  • Lee, Y. C., S. B. Lin, and Y. L. Wang. 2011. “A New Kano's Evaluation Sheet.” The TQM Journal 23 (2): 179–195.
  • Lee, Y. C., L. C. Sheu, and Y. G. Tsou. 2008. “Quality Function Deployment Implementation Based on Fuzzy Kano Model: An Application in Plm System.” Computers & Industrial Engineering 55 (1): 48–63.
  • Li, X., and Z. He. 2017. “Determining Importance Ratings of Patients' Requirements with Multi-Granular Linguistic Evaluation Information.” International Journal of Production Research 55 (14): 4110–4122.
  • Lin, S. P., C. L. Yang, Y.h. Chan, and C. Sheu. 2010. “Refining Kano's ‘quality Attributes–Satisfaction’ Model: A Moderated Regression Approach.” International Journal of Production Economics 126 (2): 255–263.
  • Lundberg, S. M., and S. I. Lee. 2017. “A Unified Approach to Interpreting Model Predictions.In Proceedings of the 31st International Conference on Neural Information Processing Systems.Long Beach, CA, USA.4-9 December.
  • Madzík, P., and P. Kormanec. 2020. “Developing the Integrated Approach of Kano Model and Failure Mode and Effect Analysis.” Total Quality Management & Business Excellence 31 (15–16): 1788–1810.
  • Madzík, P., and V. Pelantová. 2018. “Validation of Product Quality Through Graphical Interpretation of the Kano Model: An Explorative Study.” International Journal of Quality & Reliability Management 35 (9): 1956–1975.
  • Mankad, S., H. S. Han, J. Goh, and S. Gavirneni. 2016. “Understanding Online Hotel Reviews Through Automated Text Analysis.” Service Science 8 (2): 124–138.
  • Maren, A. J., C. T. Harston, and R. M. Pap. 2014. Handbook of Neural Computing Applications. San Diego, CA: Academic Press.
  • Matzler, K., F. Bailom, H. H. Hinterhuber, B. Renzl, and J. Pichler. 2004. “The Asymmetric Relationship Between Attribute-Level Performance and Overall Customer Satisfaction: A Reconsideration of the Importance–performance Analysis.” Industrial Marketing Management 33 (4): 271–277.
  • Matzler, K., and H. H. Hinterhuber. 1998. “How to Make Product Development Projects More Successful by Integrating Kano's Model of Customer Satisfaction Into Quality Function Deployment.” Technovation 18 (1): 25–38.
  • McLachlan, G. J., K. A. Do, and C. Ambroise. 2005. Analyzing Microarray Gene Expression Data. Vol. 422. New York, USA: John Wiley & Sons.
  • Mikolov, T., I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. 2013. “Distributed Representations of Words and Phrases and their Compositionality.In Proceedings of the 26th International Conference on Neural Information Processing Systems.Lake Tahoe, Nevada, USA.5-10 December.
  • Mikulić, J., and D. Prebežac. 2012. “Accounting for Dynamics in Attribute-Importance and for Competitor Performance to Enhance Reliability of Bpnn-Based Importance–Performance Analysis.” Expert Systems with Applications 39 (5): 5144–5153.
  • Molnar, C. 2019. Interpretable Machine Learning. British Columbia, Canada: Leanpib.
  • Qi, J., Z. Zhang, S. Jeon, and Y. Zhou. 2016. “Mining Customer Requirements From Online Reviews: A Product Improvement Perspective.” Information & Management 53 (8): 951–963.
  • Rehurek, R., and P. Sojka. 2010. “Software Framework for Topic Modelling with Large Corpora.” In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks. Citeseer.
  • Severyn, A., and A. Moschitti. 2015. “Twitter Sentiment Analysis with Deep Convolutional Neural Networks.In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval.Santiago, Chile.9-13 August.
  • Shahin, A. 2004. “Integration of Fmea and the Kano Model: An Exploratory Examination.” International Journal of Quality & Reliability Management 21 (7): 731–746.
  • Shen, X. X., K. C. Tan, and M. Xie. 2000. “An Integrated Approach to Innovative Product Development Using Kano's Model and Qfd.” European Journal of Innovation Management 3 (2): 91–99.
  • Stojčić, M., A. Stjepanović, and D. Stjepanović. 2019. “Anfis Model for the Prediction of Generated Electricity of Photovoltaic Modules.” Decision Making: Applications in Management and Engineering 2 (1): 35–48.
  • Suryadi, D., and H. Kim. 2018. “A Systematic Methodology Based on Word Embedding for Identifying the Relation Between Online Customer Reviews and Sales Rank.” Journal of Mechanical Design 140 (12): 12403–12415.
  • Tontini, G., J. C. da Silva, E. F. S. Beduschi, E. R. M. Zanin, and M. de Fátima Marcon. 2015. “Nonlinear Impact of Online Retail Characteristics on Customer Satisfaction and Loyalty.” International Journal of Quality and Service Sciences 7 (2/3): 152–169.
  • Violante, M. G., and E. Vezzetti. 2017. “Kano Qualitative Vs Quantitative Approaches: An Assessment Framework for Products Attributes Analysis.” Computers in Industry 86: 15–25.
  • Wang, Y., X. Lu, and Y. Tan. 2018. “Impact of Product Attributes on Customer Satisfaction: An Analysis of Online Reviews for Washing Machines.” Electronic Commerce Research and Applications 29: 1–11.
  • Xiao, S., C. P. Wei, and M. Dong. 2016. “Crowd Intelligence: Analyzing Online Product Reviews for Preference Measurement.” Information & Management 53 (2): 169–182.
  • Xu, Q., R. J. Jiao, X. Yang, M. Helander, H. M. Khalid, and A. Opperud. 2009. “An Analytical Kano Model for Customer Need Analysis.” Design Studies 30 (1): 87–110.
  • Zhou, F., J. Ayoub, Q. Xu, and X. Jessie Yang. 2020. “A Machine Learning Approach to Customer Needs Analysis for Product Ecosystems.” Journal of Mechanical Design 142 (1): 011101–011114.

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