A novel COVID-19 sentiment analysis in Turkish based on the combination of convolutional neural network and bidirectional long-short term memory on Twitter

Autor:	Abdullah Talha Kabakus
Rok vydání:	2021
Předmět:	Computational Theory and Mathematics Computer Networks and Communications Software Computer Science Applications Theoretical Computer Science
Zdroj:	Concurrency and computation : practiceexperience. 34(22)
ISSN:	1532-0626
Popis:	The whole world has been experiencing the COVID-19 pandemic since December 2019. During the pandemic, a new life has been started by necessity where people have extensively used social media to express their feelings, and find information.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1b9375843564ef2a13040466515a3fd https://pubmed.ncbi.nlm.nih.gov/35539003 Zobrazit plný text záznamu Plný text