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Platforms that depend on user-generated content spend a great deal of effort crafting policies and mechanisms that can yield a steady stream of engaging content. In this work, we consider the effects of awards offered by peers, a feature that many platforms provide to enable users to recognize...
Persistent link: https://www.econbiz.de/10014103821
Focused Concept Miner (FCM) is an interpretable deep learning text mining algorithm to (1) automatically extract coherent corpus-level concepts from text data, (2) focus the discovery of concepts to filter through only the concepts highly correlated to the user-specified outcome, and (3)...
Persistent link: https://www.econbiz.de/10014109337
How consumers use review content in their decision making has remained a black box due to the labor-intensive nature of extracting content from review text and the lack of data on review-reading behavior. In this study, we overcome this challenge by applying deep-learning- based natural language...
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This paper uses deep learning and natural language processing (NLP) methods on the US patent corpus to evaluate their predictive power in estimating two measures of patent value: (i) investor reaction to patent announcements as measured in Kogan et al., 2017 and (ii) forward citations. While...
Persistent link: https://www.econbiz.de/10013244805
Generative AI technologies like ChatGPT are transforming how people create, share, and consume content in various domains. Though these technologies have the potential to democratize information access and streamline content production, they may also have unintended consequences for the health...
Persistent link: https://www.econbiz.de/10014346059
We investigate the economic impact of images and lower-level image factors that influence property demand in Airbnb. Using Difference-in-Difference analyses on a 16-month Airbnb panel dataset spanning 7,711 properties, we find that units with verified photos (taken by Airbnb's photographers)...
Persistent link: https://www.econbiz.de/10012933894
A lack of interpretability limits the use of common unsupervised learning techniques (e.g., PCA, t-SNE) in contexts where they are meant to augment managerial decision-making. We develop a generative deep learning model based on a Variational AutoEncoder (“InnoVAE”) that converts...
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