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Sentiment analysis in electronic negotiations
Körner, Michael - 2019
Persistent link: https://www.econbiz.de/10012104930
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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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A systematic review on techniques of feature selection and classification for text mining
Sridharan, K.; Sivakumar, P. - In: International journal of business information systems : … 28 (2018) 4, pp. 504-518
Persistent link: https://www.econbiz.de/10011924333
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A review of recent advances in text mining of Indian languages
Panigrahi, Prabin Kumar; Bele, Nishikant - In: International journal of business information systems : … 23 (2016) 2, pp. 175-193
Persistent link: https://www.econbiz.de/10011636714
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Classifying businesses by economic activity using web-based text mining
Roelands, Maarten; Delden, Arnout van; Windmeijer, Dick - 2017
Persistent link: https://www.econbiz.de/10011756363
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An innovative topic-based customer complaints sentiment classification system
Basha, Syed Muzamil; Rajput, Dharmendra Singh - In: International journal of business innovation and research 20 (2019) 3, pp. 375-391
Persistent link: https://www.econbiz.de/10012144521
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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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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