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Textual data science for logistics and supply chain management
Treiblmaier, Horst; Mair, Patrick - In: Logistics 5 (2021) 3, pp. 1-15
) correspondence analysis, and (5) multidimensional scaling. Results: Word clouds show the most frequent words in a body of text …
Persistent link: https://www.econbiz.de/10012618298
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Modeling stock price movements prediction based on news sentiment analysis and deep learning
Tajmazinani, Maedeh; Hassani, Hossein; Raei, Reza; … - In: Annals of financial economics 17 (2022) 1, pp. 1-19
Persistent link: https://www.econbiz.de/10013189122
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Are all text news just a noise for investors? : impact of online texts on Bitcoin returns
Damjanović, Aleksandar; Drenovak, Mikica - In: Ekonomske teme 61 (2023) 2, pp. 121-144
readability of the news (i.e., the clarity with which the text is written, measured by the fog index) and the returns on Bitcoin …
Persistent link: https://www.econbiz.de/10014372681
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Walking down wall street with a tablet : a survey of stock market predictions using the web
Nardo, Michela; Petracco Giudici, Marco; Naltsidis, Minás - In: Journal of economic surveys 30 (2016) 2, pp. 356-369
Persistent link: https://www.econbiz.de/10011553489
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Can central bank speeches predict financial market turbulence? : evidence from an adaptive NLP sentiment index analysis using XGBoost machine learning technique
Petropoulos, Anastasios; Siakoulis, Vasilis - In: Central Bank review / Central Bank of the Republic of Turkey 21 (2021) 4, pp. 141-153
Central Bank speeches usually function as aggregators of internal quantitative and qualitative analysis of the institutions regarding the macro economy, the monetary policy and the health of the financial systems. Speeches usually function as a summary of the current status of a countries...
Persistent link: https://www.econbiz.de/10012802256
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Recent advances in stock market prediction using text mining : a survey
Alzazah, Faten Subhi; Cheng, Xiaochun - In: E-business - higher education and intelligence applications, (pp. 101-133). 2021
Persistent link: https://www.econbiz.de/10012605510
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Sentiment analysis in electronic negotiations
Körner, Michael - 2019
Persistent link: https://www.econbiz.de/10012104930
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On the risk prediction and analysis of soft information in finance reports
Tsai, Ming-Feng; Wang, Chuan-Ju - In: European journal of operational research : EJOR 257 (2017) 1, pp. 243-250
Persistent link: https://www.econbiz.de/10011639392
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Comprehensive review of text‑mining applications in finance
Gupta, Aaryan; Dengre, Vinya; Kheruwala, Hamza Abubakar; … - In: Financial innovation : FIN 6 (2020) 39, pp. 1-25
Text-mining technologies have substantially affected financial industries. As the data in every sector of finance have … grown immensely, text mining has emerged as an important field of research in the domain of finance. Therefore, reviewing … the recent literature on text-mining applications in finance can be useful for identifying areas for further research …
Persistent link: https://www.econbiz.de/10012317572
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Building news measures from textual data and an application to volatility forecasting
Caporin, Massimiliano; Poli, Francesco - In: Econometrics : open access journal 5 (2017) 3, pp. 1-46
We retrieve news stories and earnings announcements of the S&P 100 constituents from two professional news providers, along with ten macroeconomic indicators. We also gather data from Google Trends about these firms’ assets as an index of retail investors’ attention. Thus, we create an...
Persistent link: https://www.econbiz.de/10011711085