Characterisation of COVID-19-Related Tweets in the Croatian Language: Framework Based on the Cro-CoV-cseBERT Model
This study aims to provide insights into the COVID-19-related communication on Twitter in the Republic of Croatia. For that purpose, we developed an NL-based framework that enables automatic analysis of a large dataset of tweets in the Croatian language. We collected and analysed 206,196 tweets rela...
Guardado en:
Autores principales: | Karlo Babić, Milan Petrović, Slobodan Beliga, Sanda Martinčić-Ipšić, Mihaela Matešić, Ana Meštrović |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/bee88f1fe5e1455ca45cbc279d714be0 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Fine-Grained Sentiment Analysis of Arabic COVID-19 Tweets Using BERT-Based Transformers and Dynamically Weighted Loss Function
por: Nora Alturayeif, et al.
Publicado: (2021) -
Aspect-Based Sentiment Analysis in Hindi Language by Ensembling Pre-Trained mBERT Models
por: Abhilash Pathak, et al.
Publicado: (2021) -
Weibo Text Sentiment Analysis Based on BERT and Deep Learning
por: Hongchan Li, et al.
Publicado: (2021) -
Bert-Enhanced Text Graph Neural Network for Classification
por: Yiping Yang, et al.
Publicado: (2021) -
Análisis de sentimiento de comentarios en español en Google Play Store usando BERT
por: López Condori,Juan José, et al.
Publicado: (2021)