Leveraging machine learning to analyze sentiment from COVID-19 tweets: A global perspective.

Rahman, Md Mahbubar; Khan, Nafiz Imtiaz; Sarker, Iqbal H; Ahmed, Mohiuddin; Islam, Muhammad Nazrul

Rahman, Md Mahbubar; Khan, Nafiz Imtiaz; Sarker, Iqbal H; Ahmed, Mohiuddin; Islam, Muhammad Nazrul.

Afiliación

Rahman MM; Department of Computer Science and Engineering Military Institute of Science and Technology (MIST) Dhaka Bangladesh.
Khan NI; Department of Computer Science and Engineering Military Institute of Science and Technology (MIST) Dhaka Bangladesh.
Sarker IH; Department of Computer Science and Engineering Chittagong University of Engineering and Technology Chittagong Bangladesh.
Ahmed M; School of Science Edith Cowan University Joondalup Western Australia Australia.
Islam MN; Department of Computer Science and Engineering Military Institute of Science and Technology (MIST) Dhaka Bangladesh.

Eng Rep ; : e12572, 2022 Sep 18.

Article en En | MEDLINE | ID: mdl-36247344

Palabras clave

COVID19; coronavirus; deep neural network; machine learning; outbreak; pandemic; prediction; sentiment analysis; social media

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Eng Rep Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos

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