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Kim, Keongtae; Park, Jooyoung; Pan, Yang; Zhang, Kunpeng; … - In: Information systems research : ISR 33 (2022) 3, pp. 1023-1041

Persistent link: https://www.econbiz.de/10013373600

sDTM: a supervised Bayesian deep topic model for text analytics

Yang, Yi; Zhang, Kunpeng; Fan, Yangyang - In: Information systems research : ISR 34 (2023) 1, pp. 137-156

Persistent link: https://www.econbiz.de/10014323405

Leveraging AI for content generation : a customer equity perspective

Schweidel, David A.; Reisenbichler, Martin; Reutterer, … - In: Artificial intelligence in marketing, (pp. 125-145). 2023

Persistent link: https://www.econbiz.de/10014307019

Identifying market structure : a deep network representation learning of social engagement

Yang, Yi; Zhang, Kunpeng; Kannan, P. K. - In: Journal of marketing 86 (2022) 4, pp. 37-56

Persistent link: https://www.econbiz.de/10013258873

Analyzing firm reports for volatility prediction : a knowledge-driven text-embedding approach

Yang, Yi; Zhang, Kunpeng; Fan, Yangyang - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 1, pp. 522-540

Persistent link: https://www.econbiz.de/10013359104

The Vicious Cycle of Responding to Negative Comments on Social Media Brand Pages : A Quasi-Experiment with Facebook Policy Change and Machine Learning

Zhang, Yuchi; Zhang, Kunpeng; Luo, Xueming - 2019

In the offline world, firms often benefit from responding to consumer complaints. However, the effect of responding to negative comments on social media in the online environment is unclear. A direct firm response may address the negative experience and reduce similar complaints, but such...

Persistent link: https://www.econbiz.de/10014104124

Uniting the tribes : using text for marketing insight

Berger, Jonah; Humphreys, Ashlee; Ludwig, Stephan; Moe, … - In: Journal of marketing 84 (2020) 1, pp. 1-25

Persistent link: https://www.econbiz.de/10012176296