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Identifying customer needs from user-generated content
Timoshenko, Artem; Hauser, John R. - In: Marketing science : the marketing journal of the … 38 (2019) 1, pp. 1-20
Persistent link: https://www.econbiz.de/10011999542
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Deriving topic-related and interaction features to predict top attractive reviews for a specific business entity
Lee, Eunjung; Huimin, Zhao - In: Journal of business analytics 3 (2020) 1, pp. 17-31
Persistent link: https://www.econbiz.de/10012255706
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Analysing customers reactions on social media promotional campaigns : a text-mining approach
Saxena, Anant; Chaturvedi, K. R.; Rakesh, Sapna - In: Paradigm : the journal of Institute of Management Technology 22 (2018) 1, pp. 80-99
Persistent link: https://www.econbiz.de/10012161085
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Deciphering Indian inflationary expectations through text mining : an exploratory approach
Banerjee, Ashok; Kanodia, Ayush; Ray, Partha - 2019
Persistent link: https://www.econbiz.de/10012129447
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Assessing and enhancing adversarial robustness of predictive analytics : an empirically tested design framework
Li, Weifeng; Chai, Yidong - In: Journal of management information systems : JMIS 39 (2022) 2, pp. 542-572
Persistent link: https://www.econbiz.de/10013367731
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Performance improvement in budget hotels through consumer sentiment analysis using text mining
Mukherjee, Debarshi; Debnath, Ranjit; Chakraborty, Subhayan - In: Smart analytics, artificial intelligence and …, (pp. 67-85). 2023
Persistent link: https://www.econbiz.de/10014318060
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Mapping business analytics skillsets with industries : empirical evidence from online job advertisements
Qin, Hong; Koong, Kai; Wen, Haoyu; Liu, Lai - In: Journal of business analytics 6 (2023) 3, pp. 167-179
Persistent link: https://www.econbiz.de/10014319343
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Using text mining in financial reporting : to predict the companies' corporate governance qualifications
Yıldız, Birol; Ağdeniz, Şafak - In: Contemporary studies of risks in emerging technology, part B, (pp. 147-168). 2023
Persistent link: https://www.econbiz.de/10014325681
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Global schema as local data integrator using active learning to identify candidates attributes
Santos, Clóvis; Dorneles, Carina - In: International journal of applied management science : IJAMS 15 (2023) 4, pp. 296-310
Persistent link: https://www.econbiz.de/10014391699
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unFEAR : unsupervised feature extraction clustering with an application to crisis regimes classification
Chan-Lau, Jorge A.; Wang, Ran - 2020
We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled …
Persistent link: https://www.econbiz.de/10012392653