Identifying Customer Needs from User-Generated Content
Published Online:30 Jan 2019https://doi.org/10.1287/mksc.2018.1123
References
- (2004) Quality Function Deployment (QFD): Integrating customer requirements into product design (Productivity Press, New York).Google Scholar
- (2002) A customer-oriented new service development process. J. Services Marketing 16(6):515–534.Crossref, Google Scholar
- (2016) Deriving the pricing power of product features by mining consumer reviews. Management Sci. 57(8):1485–1509.Link, Google Scholar
- (2014) Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors. Proc. 52nd Annual Meeting Assoc. Comput. Linguistics (Vol. 1: Long Papers) (Association for Computational Linguistics, Stroudsburg, PA), 238–247.Crossref, Google Scholar
- (1995) Product development: Past research, present findings, and future directions. Acad. Management Rev. 20(2):343–378.Crossref, Google Scholar
- (2016) Sentence-based text analysis for consumer reviews. Marketing Sci. 35(6):953–975.Link, Google Scholar
- (2002) Quality function deployment: A literature review. Eur. J. Oper. Res. 143(3):463–497.Crossref, Google Scholar
- (2016) Named entity recognition with bidirectional LSTM-CNNs. Trans. Assoc. Comput. Linguistics 4:357–370.Crossref, Google Scholar
- (2011) Natural language processing (almost) from scratch. J. Machine Learn. Res. 12:2493–2537.Google Scholar
- (2016) Human machine algorithms: Interview with Eric Colson. Accessed October 15, 2016, http://blog.fastforwardlabs.com/2016/05/25/human-machine-algorithms-interview-with-eric.html.Google Scholar
- (2013) Wise choice: The six most common product development pitfalls and how to avoid them. Marketing News (September):39–44.Google Scholar
- (2003) Using cluster analysis for market segmentation—typical misconceptions, established methodological weaknesses and some recommendation for improvement. Australasian J. Market Res. 11(2):5–12.Google Scholar
- (2014) Deep convolutional neural networks for sentiment analysis of short texts. Proc. 25th Internat. Conf. Comput. Linguistics: Tech. Papers, Dublin, Ireland, 69–78.Google Scholar
- (2012) Introduction to the special issues on the emergence can impact of user-generated content. Marketing Sci. 31(3):369–371.Link, Google Scholar
- (1978) Conjoint analysis in consumer research: Issues and outlook. J. Consumer Res. 5(2):103–123.Crossref, Google Scholar
- (1993) The voice of the customer. Marketing Sci. 12(1):1–27.Link, Google Scholar
- (2009) Voices from the field: How exceptional electronic industrial innovators innovate. J. Product Innovation Management 26(2):222–240.Crossref, Google Scholar
- (1954) Distributional structure. Word 10(2/3):146–162.Crossref, Google Scholar
- (1988) The house of quality. Harvard Bus. Rev. 66(3):63–73.Google Scholar
- (2000) Market-driven product and service design: Bridging the gap between customer needs, quality management, and customer satisfaction. Internat. J. Production Econom. 66(1):77–96.Crossref, Google Scholar
- (1997) Long short-term memory. Neural Comput. 9(8):1735–1780.Crossref, Google Scholar
- (2015) Deep unordered composition rivals syntactic methods for text classification. Proc. 53rd Annual Meeting Assoc. Comput. Linguistics 7th Internat. Joint Conf. Natl. Language Processing (Vol. 1: Long Papers) (Association for Computational Linguistics, Stroudsburg, PA), 1681–1691.Crossref, Google Scholar
- (2006) Customer requirement management in product development: A review of research issues. Concurrent Engrg. Res. Appl. 14(3):173–185.Crossref, Google Scholar
- (2015) Translating online customer opinions into engineering characteristics in QFD: A probabilistic language analysis approach. Engrg. Appl. Artificial Intelligence 41:115–127.Crossref, Google Scholar
- (1984) Attractive quality and must-be quality. Japanese Soc. Quality Control 14(2):39–48.Google Scholar
- Kao Group (2016) Kao Corporation. Accessed October 15, 2016, http://www.company-histories.com/Kao-Corporation-Company-History.html.Google Scholar
- (1998) Customer, consumer and user involvement in product development: A framework and a review of selected methods. Total Quality Management 9(1):141–149.Crossref, Google Scholar
- (2017) Benefit-based conjoint analysis. Marketing Sci. 36(1):54–69.Link, Google Scholar
- (2014) Convolutional neural networks for sentence classification. Proc. 2014 Conf. Empirical Methods Natl. Language Processing (Association for Computational Linguistics, Stroudsburg, PA), 1746–1751.Google Scholar
- (2006) Unsupervised multilingual sentence boundary detection. Comput. Linguistics 32(4):485–525.Crossref, Google Scholar
- (2001) Product development decisions: A review of the literature. Management Sci. 47(1):1–21.Link, Google Scholar
- (2016) Needmining: Toward analytical support for service design. Internat. Exploring Services Sci. 247:187–200.Crossref, Google Scholar
- (2016) Neural architectures for named entity recognition. Proc. 2016 Conf. North Amer. Chapter Assoc. Comput. Linguistics: Human Language Tech. (Association for Computational Linguistics, Stroudsburg, PA), 260–270.Crossref, Google Scholar
- (2014) Distributed representations of sentences and documents. Proc. Machine Learn. Res. 32(2):1188–1196.Google Scholar
- (2011) Automated marketing research using online customer reviews. J. Marketing Res. 48(5):881–894.Crossref, Google Scholar
- (2015) Molding CNNs for text: Non-linear, non-consecutive convolutions. Proc. 2015 Conf. Empirical Methods Natl. Language Processing (Association for Computational Linguistics, Stroudsburg, PA), 1565–1575.Crossref, Google Scholar
- (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.Crossref, Google Scholar
- (2015) Inferring networks of substitutable and complementary products. Proc. 21st ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 785–794.Crossref, Google Scholar
- (2013a) Efficient estimation of word representations in vector space. Available at https://arXiv:1301.3781v3 [cs.CL].Google Scholar
- (2013b) Distributed representations of words and phrases and their compositionality. Adv. Neural Inform. Processing Systems 26:3111–3119.Google Scholar
- (2011) A critical review of techniques for classifying quality attributes in the Kano model. Managing Service Quality 21(1):46–66.Crossref, Google Scholar
- (2012) Mine your own business: Market-structure surveillance through text mining. Marketing Sci. 31(3):521–543.Link, Google Scholar
- (2015) Relation extraction: Perspective from convolutional neural networks. Proc. 2015 Conf. North Amer. Chapter Assoc. Comput. Linguistics: Human Language Tech. (Association for Computational Linguistics, Stroudsburg, PA), 39–48.Google Scholar
- (2006) Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research, 2nd ed. (Research Publishers, Madison, WI).Google Scholar
- (1986) Strategic brand concept-image management. J. Marketing 50(4):135–145.Crossref, Google Scholar
- (2012). Mining the ‘voice of the customer’ for business prioritization. ACM Trans. Intelligent Systems Tech. 3(2):38.1–38.17.Google Scholar
- (2001) Combining machine learning and human judgment in author disambiguation. Proc. 20th ACM Internat. Conf. Inform. Knowledge Management, (ACM, New York), 1241–1246.Google Scholar
- (2015) Large-scale needfinding methods of increasing user-generated needs from large populations. J. Mech. Design 137(7):071403.Crossref, Google Scholar
- (2016) Assessing quality of unmet user needs: Effects of need statement characteristics. Design Stud. 44:1–27.Crossref, Google Scholar
- (2014) Listening in on social media: A joint model of sentiment and venue format choice. J. Marketing Res. 51(August):387–402.Crossref, Google Scholar
- (2013) Recursive deep models for semantic compositionality over a sentiment treebank. Proc. 2013 Conf. Empirical Methods Natl. Language Processing (Association for Computational Linguistics, Stroudsburg, PA), 1631–1642.Google Scholar
- (2008) A customer needs motivated conceptual design methodology for product portfolio planning. J. Engrg. Design 19(6):489–514.Crossref, Google Scholar
- (1986) Quality function deployment. Quality Progress 19(6):39–50.Google Scholar
- (2015) Improved semantic representations from tree-structured long short-term memory networks. Proc. 53rd Annual Meeting Assoc. Comput. Linguistics (Association for Computational Linguistics, Stroudsburg, PA), 1556–1566.Crossref, Google Scholar
- (2012) Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude. Online lecture, Neural Networks for Machine Learning, Coursera.Google Scholar
- (2014) Mining marketing meaning from online chatter: Strategic brand analysis of big data using Latent Dirichlet Allocation. J. Marketing Res. 51(4):463–479.Crossref, Google Scholar
- (2016) Product Design and Development, 6th ed. (McGraw-Hill, New York).Google Scholar
- (1993) Design and Marketing of New Products, 2nd ed. (Prentice-Hall, Englewood Cliffs, NJ).Google Scholar
- (2005) Recognizing contextual polarity in phrase-level sentiment analysis. Proc. Conf. Human Language Tech. Empirical Methods Natl. Language Processing (Association for Computational Linguistics, Stroudsburg, PA), 347–354.Crossref, Google Scholar
- (2010) Applying repertory grids technique for knowledge elicitation in Quality Function Deployment. Quality Quantity 44(6):1139–1149.Crossref, Google Scholar
- (2006) Leveraging missing ratings to improve online recommendation systems. J. Marketing Res. 43(August):355–365.Crossref, Google Scholar
- (2004) Sources, uses, and forms of data in the new product development process. Indust. Marketing Management 33:657–666.Crossref, Google Scholar

