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Comparing automated text classification methods
Hartmann, Jochen; Huppertz, Juliana; Schamp, Christina; … - In: International journal of research in marketing : IJRM ; … 36 (2019) 1, pp. 20-38
Persistent link: https://www.econbiz.de/10012016489
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Analysis of selected Twitter headers during the pandemic using big data method
Acar, Ibrahim Attila; Altıntaş, Volkan - In: Pandemnomics: The Pandemic's Lasting Economic Effects, (pp. 257-273). 2022
Persistent link: https://www.econbiz.de/10013365351
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Reading customers' minds through textual big data : challenges, practical guidelines, and proposals
Kwon, Wooseok - In: International journal of hospitality management 111 (2023), pp. 1-12
Persistent link: https://www.econbiz.de/10014310977
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Managing demand volatility of pharmaceutical products in times of disruption through news sentiment analysis
Nguyen, Angie; Pellerin, Robert; Lamouri, Samir; … - In: International journal of production research 61 (2023) 9, pp. 2829-2840
Persistent link: https://www.econbiz.de/10014323532
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Sentiment analysis of the Spanish financial stability Report
Moreno Bernal, Ángel Iván; González Pedraz, Carlos - In: International review of economics & finance : IREF 89 (2024) 2, pp. 913-939
Persistent link: https://www.econbiz.de/10014446822
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Analyzing TripAdvisor reviews of wine tours : an approach based on text mining and sentiment analysis
Barbierato, Elena; Bernetti, Iacopo; Capecchi, Irene - In: International journal of wine business research 34 (2022) 2, pp. 212-236
Persistent link: https://www.econbiz.de/10013361898
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Predicting stock return movement directions with sentiment analysis of news headlines : a machine learning approach
Hu, Hanxin; Sun, Ting - 2024
Persistent link: https://www.econbiz.de/10015046863
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Análisis de sentimiento del "Informe de Estabilidad Financiera"
Moreno Bernal, Ángel Iván; González Pedraz, Carlos - 2020
En este artículo se muestra una aplicación de la minería de textos para extraer información de documentos financieros y usar esta información para crear índices de sentimiento. En particular, el análisis se centra en los diferentes números del Informe de Estabilidad Financiera (IEF) del...
Persistent link: https://www.econbiz.de/10012523795
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Sentiment analysis of the Spanish Financial Stability Report
Moreno Bernal, Ángel Iván; González Pedraz, Carlos
En este artículo se muestra una aplicación de la minería de textos para extraer información de documentos financieros y usar esta información para crear índices de sentimiento. En particular, el análisis se centra en los diferentes números del Informe de Estabilidad Financiera (IEF) del...
Persistent link: https://www.econbiz.de/10012524988
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Is Deep-Learning and Natural Language Processing Transcending the Financial Forecasting? Investigation Through Lens of News Analytic Process
Khalil, Faisal; Pipa, Gordon - In: Computational Economics 60 (2021) 1, pp. 147-171
This study tries to unravel the stock market prediction puzzle using the textual analytic with the help of natural language processing (NLP) techniques and Deep-learning recurrent model called long short term memory (LSTM). Instead of using count-based traditional sentiment index methods, the...
Persistent link: https://www.econbiz.de/10014501299