A study on Covid-19 tweets
The spread of infectious diseases has caused economic and human losses throughout history. The outbreak of the COVID-19 virus changed the lives of people around the world. Social media, such as Twitter, have played a significant role in providing the general public with the latest information and...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/162911 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The spread of infectious diseases has caused economic and human losses throughout history. The
outbreak of the COVID-19 virus changed the lives of people around the world. Social media,
such as Twitter, have played a significant role in providing the general public with the latest
information and policy updates related to COVID-19 throughout the pandemic and government
bodies [3].
Twitter is a platform for users to express their opinions and views. With the help of this
microblogging platform, data can be extracted that can be used for sentiment and emotional
analysis, a technique that is referred to as natural language processing (NLP). Over 14 months
from 1 February 2020 to 31 March 2021, two billion multilingual tweets related to the
COVID-19 pandemic were extracted and analyzed in a previous study [5].
This study will explore the data collection of tweets collected for COVID-19 from TBCOV [5].
The focus will be on the evolution of COVID-19 and understanding the trends of sentiments
posted by Twitter users throughout South-East Asia, with a centering on Singapore, Thailand,
Myanmar, and Vietnam during the COVID-19 pandemic. The results of the most indicative terms
and named entities will be discussed using the Relative Entropy formula. |
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