Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162911
Title: A study on Covid-19 tweets
Authors: Nur Lydia Afiqah Binte Rozali
Keywords: Engineering::Computer science and engineering::Data
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Nur Lydia Afiqah Binte Rozali (2022). A study on Covid-19 tweets. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/162911
Project: SCSE21-0717
Abstract: 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.
URI: https://hdl.handle.net/10356/162911
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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