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Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy.
Comput Biol Med. 2023 May;158:106876. doi: 10.1016/j.compbiomed.2023.106876. Epub 2023 Apr 5.
Comput Biol Med. 2023.
PMID: 37030266
Free PMC article.
A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records.
Catelli R, Gargiulo F, Casola V, De Pietro G, Fujita H, Esposito M.
Catelli R, et al.
IEEE Access. 2021 Jan 25;9:19097-19110. doi: 10.1109/ACCESS.2021.3054479. eCollection 2021.
IEEE Access. 2021.
PMID: 34786303
Free PMC article.
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Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set.
Catelli R, Gargiulo F, Casola V, De Pietro G, Fujita H, Esposito M.
Catelli R, et al.
Appl Soft Comput. 2020 Dec;97:106779. doi: 10.1016/j.asoc.2020.106779. Epub 2020 Oct 9.
Appl Soft Comput. 2020.
PMID: 33052197
Free PMC article.
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An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian.
Pota M, Ventura M, Catelli R, Esposito M.
Pota M, et al. Among authors: catelli r.
Sensors (Basel). 2020 Dec 28;21(1):133. doi: 10.3390/s21010133.
Sensors (Basel). 2020.
PMID: 33379231
Free PMC article.
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