Art
J-GLOBAL ID:202102261716562590   Reference number:21A1194494

COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification

Tweets分類のためのCOVID-19公衆感情洞察と機械学習【JST・京大機械翻訳】
Author (6):
Material:
Volume: 11  Issue:Page: 314  Publication year: 2020 
JST Material Number: U7203A  ISSN: 2078-2489  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
Abstract/Point:
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Along with the Coronavirus pan...
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Applied psychology  ,  Artificial intelligence  ,  Man-machine system 
Reference (60):
  • COVID-19:Briefing Materials. Available online: https://www.mckinsey.com/~/media/mckinsey/business%20functions/risk/our%20insights/covid%2019%20implications%20for%20business/covid%2019%20may%2013/covid-19-facts-and-insights-may-6.ashx (accessed on 11 June 2020).
  • Jin, D.; Jin, Z.; Zhou, J.T.; Szolovits, P. Is bert really robust? natural language attack on text classification and entailment. arXiv 2019, arXiv:1907.11932.
  • Samuel, J. Information Token Driven Machine Learning for Electronic Markets: Performance Effects in Behavioral Financial Big Data Analytics. JISTEM J. Inf. Syst. Technol. Manag. 2017, 14, 371-383.
  • Shu, K.; Sliva, A.; Wang, S.; Tang, J.; Liu, H. Fake news detection on social media: A data mining perspective. ACM SIGKDD Explor. Newsl. 2017, 19, 22-36.
  • Makris, C.; Pispirigos, G.; Rizos, I.O. A Distributed Bagging Ensemble Methodology for Community Prediction in Social Networks. Information 2020, 11, 199.
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