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.

Bibliographic Details
Main Authors:	Karmaker, Anik, Hafiz, Nayeem Mohammad, Chanda, Anir
Other Authors:	Akhond, Mostafijur Rahman
Format:	Thesis
Language:	English
Published:	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)
Online Access:	http://hdl.handle.net/10361/14974

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