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Fine grain sentiment grading of user-generated big data using contextual cues
Kumar, Akshi; Garg, Geetanjali - In: World review of entrepreneurship, management and … 16 (2020) 6, pp. 590-604
Persistent link: https://www.econbiz.de/10012319057
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Sentiment analysis in electronic negotiations
Körner, Michael - 2019
Persistent link: https://www.econbiz.de/10012104930
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Automatic Machine Learning Algorithms for Fraud Detection in Digital Payment Systems
Kolodiziev, Oleh; Mints, Aleksey; Sidelov, Pavlo; … - 2021
Data on global financial statistics demonstrate that total losses from fraudulent transactions around the world are constantly growing. The issue of payment fraud will be exacerbated by the digitalization of economic relations, in particular the introduction by banks of the concept of...
Persistent link: https://www.econbiz.de/10013251229
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"Are you having a laugh?" : detecting humorous expressions on social media : an exploration of theory, current approaches and future work
Elayan, Suzanne; Sykora, Martin; Jackson, Thomas; … - In: International journal of information technology and … 21 (2022) 1, pp. 115-137
Persistent link: https://www.econbiz.de/10013256101
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Using Twitter data for cruise tourism marketing and research
Park, Seunghyun; Ok, Chihyung; Chae, Bongsug - In: Journal of travel and tourism marketing 33 (2016) 4/6, pp. 885-898
Persistent link: https://www.econbiz.de/10011517490
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Big data methods, social media, and the psychology of entrepreneurial regions : capturing cross-county personality traits and their impact on entrepreneurship in the USA
Obschonka, Martin; Lee, Neil; Rodríguez-Pose, Andrés; … - In: Small business economics : an international journal 55 (2020) 3, pp. 567-588
Persistent link: https://www.econbiz.de/10012304618
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Social media sentiment and market behavior
Affuso, Ermanno; Lahtinen, Kyre Dane - In: Empirical economics : a journal of the Institute for … 57 (2019) 1, pp. 105-127
Persistent link: https://www.econbiz.de/10012052258
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Mining netizen's opinion on cryptocurrency : sentiment analysis of Twitter data
Hassan, M. Kabir; Hudaefi, Fahmi Ali; Caraka, Rezzy Eko - In: Studies in economics and finance 39 (2022) 3, pp. 365-385
Persistent link: https://www.econbiz.de/10013355158
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A modified Bayesian boosting algorithm with weight-guided optimal feature selection for sentiment analysis
Nayak, Smitha; Savita; Sharma, Yogesh Kumar - In: Decision analytics journal 8 (2023), pp. 1-13
study, we propose a modified Bayesian Boosting algorithm with weight-guided optimal feature selection for sentiment analysis … and utilizing an optimized boosting algorithm. The proposed algorithm leverages the strength of the Bayesian framework and …. The algorithm employs a modified Bayesian boosting algorithm to optimize the boosting process. It dynamically adjusts the …
Persistent link: https://www.econbiz.de/10014517151
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Unmasking the twitterverse : analyzing sentiments towards DeFi
Walia, Nidhi; Bandha, Poonam; Goyal, Naina - In: Mudra : journal of finance and accounting 11 (2024) 1, pp. 36-57
Persistent link: https://www.econbiz.de/10015063487