Social media sentiment study on COVID-19 outbreak

Social media sentiment study on COVID-19 outbreak

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Detalles Bibliográficos
Main Authors: Karmaker, Anik, Hafiz, Nayeem Mohammad, Chanda, Anir
Outros autores: Akhond, Mostafijur Rahman
Formato: Thesis
Idioma:English
Publicado: Brac University 2021
Subjects:
COVID19
corona virus
Twitter tweets
Job
Education
Medical
TextBlob
Matplotlib
Tweepy
Natural Language Processing
Sentiment analysis
Text Polarity
COVID-19 (Disease)
Acceso en liña:http://hdl.handle.net/10361/14974

Internet

http://hdl.handle.net/10361/14974

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