Extracting Features of Entertainment Products: A Guided Latent Dirichlet Allocation Approach Informed by the Psychology of Media Consumption:
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In this article, a quantitative approach for describing entertainment products, in a way that allows for improving the predictive performance of consumer choice models for these products, has been proposed to improve the prediction performance of these models.Abstract:
The authors propose a quantitative approach for describing entertainment products, in a way that allows for improving the predictive performance of consumer choice models for these products. Their ...read more
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References
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Mining Marketing Meaning from Online Chatter: Strategic Brand Analysis of Big Data Using Latent Dirichlet Allocation:
TL;DR: In this article, the authors propose a unified framework for this purpose using unsupervised latent Dirichlet allocation, which enables marketers to track dimensions' importance over time and allows for dynamic mapping of competitive brand positions on those dimensions over time.
Journal ArticleDOI
Mine Your Own Business: Market-Structure Surveillance Through Text Mining
TL;DR: This paper proposes an approach for firms to explore online user-generated content and “listen” to what customers write about their and their competitors' products and demonstrates this approach using two cases---sedan cars and diabetes drugs---generating market-structure perceptual maps and meaningful insights without interviewing a single consumer.
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Mine Your Own Business: Market-Structure Surveillance Through Text Mining
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