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Journal ArticleDOI

Automated Marketing Research Using Online Customer Reviews

Thomas Y. Lee, +1 more
- 01 Oct 2011 - 
- Vol. 48, Iss: 5, pp 881-894
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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...

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Citations
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Journal ArticleDOI

Social Interactions in Online Gaming

TL;DR: Five studies examining massively multiplayer online role-playing games (MMORPGs) showed that the social aspects of the game were the most important factor for many gamers, and it was found that 12% of gamers fulfilled at least three diagnostic criteria of addiction.
Journal ArticleDOI

Leisure Motivation and Satisfaction: A Text Mining of Yoga Centres, Yoga Consumers, and Their Interactions

Susan Jia
- 27 Nov 2018 - 
TL;DR: Wang et al. as mentioned in this paper investigated 25,120 pairs of online ratings and reviews from 100 yoga centres in Shanghai, China using latent Dirichlet allocation (LDA)-based text mining, and successfully established the relationship between rating and review.
Proceedings ArticleDOI

Utilizing Text Mining on Online Medical Forums to Predict Label Change due to Adverse Drug Reactions

TL;DR: An end-to-end text mining methodology for relation extraction of adverse drug reactions (ADRs) from medical forums on the Web is presented and the ability of the proposed approach to predict ADRs prior to their reporting by the Food and Drug Administration is empirically demonstrated.
Journal ArticleDOI

The Differential Effects of Online Peer Review and Expert Review on Service Evaluations: The Roles of Confidence and Information Convergence

TL;DR: Interestingly, when consumers see mixed information from either similar or different sources, negative expert review has greater influence than negative peer review in lowering consumer confidence and their evaluations of both experience and credence services.
Journal ArticleDOI

Making sense of text: artificial intelligence-enabled content analysis

TL;DR: This paper is among the first to introduce, apply and compare how artificial intelligence (AI) can be used for content analysis in marketing research relative to manual and computer-aided (non-AI) approaches to content analysis.
References
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Proceedings ArticleDOI

Mining and summarizing customer reviews

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

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

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.
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