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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

Harnessing the social web to enhance insights into people's opinions in business, government and public administration

TL;DR: This study presents a design science research approach to develop a general framework (‘MarketMiner’) to handle large amounts of foreign-language user-generated content and results are promising in that MarketMiner can dramatically improve the utilization of multi-language, multi-source social media content.
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Mindful Consumption: Three Consumer Segment Views:

TL;DR: As consumers are moving away from mindless consumerism, a mindful consumption literature has emerged that is based on Buddhist and psychological perspectives of mindfulness as discussed by the authors, and the idea of mindf...
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Behind the ratings: Text mining of restaurant customers’ online reviews:

TL;DR: This study proposes an integrated approach that leverages text mining and empirical modeling to quantitatively correlate ratings with reviews, and identifies the most impactful factors that influence taste, environment, and service ratings.
Journal ArticleDOI

OBIM: A computational model to estimate brand image from online consumer review

TL;DR: Two applications of OBIM score, Association Based SWOT analysis and Senti-Concept Mapper technique to discover hidden concepts, are proposed and it is shown how these techniques can support the decision-making process of marketers.
Journal ArticleDOI

P2V-MAP: Mapping Market Structures for Large Retail Assortments:

TL;DR: A neural network language model is customized to derive latent product attributes by analyzing the co-occurrences of products in shopping baskets and applying dimensionality reduction to the latent attributes yields a two-dimensional product map.
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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