Journal ArticleDOI
Automated Marketing Research Using Online Customer Reviews
Thomas Y. Lee,Eric T. Bradlow +1 more
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TLDR
In this article, the authors present a method to support the analysis and visualization of market structure by automatically eliciting product attributes and brand's relative positions from online customer reviews, using the "voice of the consumer" as reflected in customer reviews.Abstract:
Market structure analysis is a basic pillar of marketing research. Classic challenges in marketing such as pricing, campaign management, brand positioning, and new product development are rooted in an analysis of product substitutes and complements inferred from market structure. In this article, the authors present a method to support the analysis and visualization of market structure by automatically eliciting product attributes and brand's relative positions from online customer reviews. First, the method uncovers attributes and attribute dimensions using the “voice of the consumer,” as reflected in customer reviews, rather than that of manufacturers. Second, the approach runs automatically. Third, the process supports rather than supplants managerial judgment by reinforcing or augmenting attributes and dimensions found through traditional surveys and focus groups. The authors test the approach on six years of customer reviews for digital cameras during a period of rapid market evolution. They...read more
Citations
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Book ChapterDOI
A Novel Approach for Predicting Ancillaries Ratings of Indian Low-Cost Airlines Using Clustering Techniques
TL;DR: A novel approach for classifying and predicting airline passenger ratings for ancillaries using unsupervised learning techniques like K-Means and Expectation Maximization clustering is presented.
Book ChapterDOI
Fine-Grained Sentiment Rating of Online Reviews with Deep-RNN
TL;DR: A fine-grained sentiment rating of online reviews based on Deep-RNN is proposed and investigates the effect of tuning hyper-parameters on the performance of the network.
See the Invisible: Mining Market Knowledge from Online Reviews using 'TEM'
Master Thesis,Ran Wang +1 more
TL;DR: This article proposed Transform, Extract, Extract and Mine (TEM) model to extract market related information from various online information source, especially online reviews, in order to extract latent evaluations of individual review.
Journal ArticleDOI
Natural language processing applied to tourism research: A systematic review and future research directions
Miguel A. Álvarez-Carmona,Ramón Aranda,Ansel Y. Rodríguez-González,Daniel Fajardo-Delgado,M.G. Sanchez,Humberto Pérez-Espinosa,Juan Martínez-Miranda,Rafael Guerrero-Rodríguez,Lázaro Bustio-Martínez,Angel Díaz-Pacheco +9 more
TL;DR: A systematic review of the use of NLP in the tourism industry and research is presented in this article , where the authors used the well-known PRISMA methodology, and 227 relevant studies over the last decade have been reviewed.
Journal ArticleDOI
Multimarket Membership Mapping
TL;DR: In this paper , the authors proposed a novel framework that accommodates multimarket membership products (MMPs) by visualizing products in the local context of each submarket in which they compete.
References
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Proceedings ArticleDOI
Mining and summarizing customer reviews
Minqing Hu,Bing Liu +1 more
TL;DR: This research aims to mine and to summarize all the customer reviews of a product, and proposes several novel techniques to perform these tasks.
Proceedings ArticleDOI
Automatic acquisition of hyponyms from large text corpora
TL;DR: A set of lexico-syntactic patterns that are easily recognizable, that occur frequently and across text genre boundaries, and that indisputably indicate the lexical relation of interest are identified.
Journal ArticleDOI
Conjoint Analysis in Consumer Research: Issues and Outlook
Paul E. Green,V. Srinivasan +1 more
TL;DR: In this paper, the authors discuss various issues involved in implementing conjoint analysis and describe some new technical developments and application areas for the methodology, which has been applied to a wide variety of problems in consumer research.
Journal ArticleDOI
The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms
TL;DR: Online feedback mechanisms harness the bidirectional communication capabilities of the Internet to engineer large-scale, word-of-mouth networks as discussed by the authors, which has potentially important implications for a wide range of management activities such as brand building, customer acquisition and retention, product development and quality assurance.
Journal ArticleDOI
The Voice of the Customer
Abbie Griffin,Jay Hauser +1 more
TL;DR: A self-selection bias in satisfaction measures used commonly for QFD and for corporate incentive programs is demonstrated, demonstrating how a product-development team used the voice of the customer to create a successful new product.