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Differences between antisemitic and non-antisemitic English language tweets
Jikeli, Günther; Axelrod, David; Fischer, Rhonda K.; … - In: Computational & mathematical organization theory 30 (2024) 3, pp. 232-266
Persistent link: https://www.econbiz.de/10015077942
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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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Analysing political opinions using machine learning
Joshi, Pragya; Kunwar, Akash Singh - In: International journal of public sector performance … 12 (2023) 4, pp. 524-539
Persistent link: https://www.econbiz.de/10015067277
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Application of support vector machine for Arabic sentiment classification using Twitter-based dataset
Alyami, Sarah N.; Olatunji, Sunday O. - In: Journal of information & knowledge management : JIKM 19 (2020) 1, pp. 2040018-1-2040018-13
Persistent link: https://www.econbiz.de/10012292664
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The need for language planning to address English-language media pressures on minority language survival in bilingual populations
Wyburn, John - In: Journal of the Operational Research Society 71 (2020) 9, pp. 1357-1374
Persistent link: https://www.econbiz.de/10012264780
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Resilience messaging : the effect of governors’ social media communications on community compliance during a public health crisis
Mousavi, Reza; Gu, Bin - In: Information systems research : ISR 35 (2024) 2, pp. 505-527
Persistent link: https://www.econbiz.de/10014634932
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Classification of intent in moderating online discussions : an empirical evaluation
Gehweiler, Christoph; Lobachev, Oleg - In: Decision analytics journal 10 (2024), pp. 1-15
This paper investigates the use of large language models (LLMs) for moderating online discussions, with a focus on … identifying user intent in various types of content. It centers on natural language processing (NLP) techniques to detect toxic … language, derailment in discussions, and problematic comments. The study creates prototypes of such tools, utilizing LLMs. Then …
Persistent link: https://www.econbiz.de/10014543863
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Future applications of generative large language models : a data-driven case study on ChatGPT
Chiarello, Filippo; Giordano, Vito; Spada, Irene; … - In: Technovation : an international journal of technical … 133 (2024), pp. 1-11
Persistent link: https://www.econbiz.de/10014552099
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Women entrepreneurs and the usage of artificial intelligence for business continuity in COVID-19
Bhatnagar, Deepali; Yadav, Kajal - In: Digital transformation, strategic resilience, cyber …, (pp. 57-70). 2023
Persistent link: https://www.econbiz.de/10014428594
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Thai stock news classification based on price changes and sentiments
Ponrudee Netisopakul; Woranun Saewong - In: International journal of electronic finance : IJEF 11 (2022) 1, pp. 49-66
Persistent link: https://www.econbiz.de/10012939852