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Essays on text mining : methodological advances and practical applications to scientific texts
Rüdiger, Matthias Sebastian - 2020
Persistent link: https://www.econbiz.de/10012391939
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Computerunterstützte Textanalysen mit TextQuest : eine Einführung in Methoden und Arbeitstechniken
Klein, Harald - 2013
Persistent link: https://www.econbiz.de/10010350695
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On the design of R-based scalable frameworks for data science applications
Theußl, Stefan Peter - 2020
Persistent link: https://www.econbiz.de/10012194139
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Econometric forecasting using ubiquitous news text : text-enhanced factor model
Seo, Beomseok - 2023
Persistent link: https://www.econbiz.de/10014447774
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Business Intelligence - Integration von heterogenen Informationsquellen zur Entscheidungsunterstützung
Chamoni, Peter; Felden, Carsten - In: Quantitative Methoden der Logistik und des Supply Chain …, (pp. 431-449). 2006
Persistent link: https://www.econbiz.de/10003352310
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Exploring technological opportunities by linking technology and products : application of morphology analysis and text mining
Yoon, Byungun; Park, Inchae; Coh, Byoung-youl - In: Technological forecasting & social change : an … 86 (2014), pp. 287-303
Persistent link: https://www.econbiz.de/10010479585
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Text Mining with RAPIDMINER
Ertek, Gurdal - 2018
The goal of this chapter is to introduce the text mining capabilities of RAPIDMINER through a use case. The use case … involves mining reviews for hotels at TripAdvisor.com, a popular web portal. We will be demonstrating basic text mining in … RAPIDMINER using the text mining extension. We will present two different RAPIDMINER processes, namely Process01 and Process02 …
Persistent link: https://www.econbiz.de/10012923466
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Information aggregation and computational intelligence : limits to price discovery
Chen, Shu-Heng; Venkatachalam, Ragupathy - In: Evolutionary and institutional economics review 14 (2017) 1, pp. 231-252
Persistent link: https://www.econbiz.de/10011685836
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An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing
Shankar, Venkatesh; Parsana, Sohil - In: Journal of the Academy of Marketing Science 50 (2022) 6, pp. 1324-1350
Persistent link: https://www.econbiz.de/10013463931