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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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Measuring tourists’ meal experience by mining online user generated content about restaurants

TL;DR: In this article, the availability of online user generated content, as well as text mini-columns, has been used to understand restaurant customer satisfaction, especially in a Nordic tourism scenario.
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Proposing a systematic approach for integrating traditional research methods into machine learning in text analytics in tourism and hospitality

TL;DR: This paper represents one of the first attempts to systematise an integrated learning approach to understand complex concepts and build theories in tourism and hospitality, contributing to more rigourous procedures for processing and analysing large data sets of user-generated content.
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An interdisciplinary method for brand association research

TL;DR: In this article, the authors discuss the current role of qualitative research in the analysis of the relations between brands and consumers in new market spaces, with particular reference to how it can be enhanced with quantitative techniques to study interactions in online communities.
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Attribute Embedding: Learning Hierarchical Representations of Product Attributes from Consumer Reviews:

TL;DR: A methodological framework that extracts a hierarchy of product attributes based on contextual information of how attributes are expressed in consumer reviews is developed, enabling flexible sentiment analysis that can identify how meta-attributes are received by consumers and which engineered attributes are main drivers.
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The Impact of Increase in Minimum Wages on Consumer Perceptions of Service: A Transformer Model of Online Restaurant Reviews

TL;DR: The impact of an increase in minimum wages on consumer perceptions of service quality in the restaurant industry is studied.
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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