Sustainable Artificial Intelligence-Based Twitter Sentiment Analysis on COVID-19 Pandemic
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- Costola, Michele & Hinz, Oliver & Nofer, Michael & Pelizzon, Loriana, 2023.
"Machine learning sentiment analysis, COVID-19 news and stock market reactions,"
Research in International Business and Finance, Elsevier, vol. 64(C).
- Costola, Michele & Nofer, Michael & Hinz, Oliver & Pelizzon, Loriana, 2020. "Machine learning sentiment analysis, Covid-19 news and stock market reactions," SAFE Working Paper Series 288, Leibniz Institute for Financial Research SAFE.
- Ashkan Ebadi & Pengcheng Xi & Stéphane Tremblay & Bruce Spencer & Raman Pall & Alexander Wong, 2021. "Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 725-739, January.
- Alfonso Chaves-Montero & Fernando Relinque-Medina & Manuela Á. Fernández-Borrero & Octavio Vázquez-Aguado, 2021. "Twitter, Social Services and Covid-19: Analysis of Interactions between Political Parties and Citizens," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
- Mohammed A. A. Al-qaness & Ahmed A. Ewees & Hong Fan & Laith Abualigah & Mohamed Abd Elaziz, 2020. "Marine Predators Algorithm for Forecasting Confirmed Cases of COVID-19 in Italy, USA, Iran and Korea," IJERPH, MDPI, vol. 17(10), pages 1-14, May.
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Keywords
sustainability; sentiment analysis; low resource language; natural language processing; deep learning; pattern recognition; COVID-19 pandemic;All these keywords.
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