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Adane, Solomon Gebremeskel. COVID19 tweeter dataset sentiment analysis. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2021.
COVID19 tweeter dataset sentiment analysis
Name: Kumar, Anubhav
Organization :
Ethiopian Institute of Technology Mekelle. School of Computing
Email :
ds.dranubhavkumar@gmail.com
Name: Yun, Kyongsik
Organization :
California Institute of Technology
Email :
yunkss@gmail.com
Name: Gebregzabiher, Teklay
Organization :
Ethiopian Institute of Technology Mekelle. School of Computing
Email :
tekash1997@gmail.com
Name: Tesfay, Berihu Yohannes
Organization :
Ethiopian Institute of Technology Mekelle. School of Computing
Email :
berihuyohannes.tesfay@gmail.com
Organization :
Ethiopian Institute of Technology Mekelle. School of Computing
Email :
solomgebre@gmail.com
LCSH:
COVID-19 (Disease)
-- Social aspects
LCSH:
Sentiment analysis
Abstract:
COVID19 (define as 'CO' stands for corona,
'VI' for virus, and 'D' for disease) is declared global pandemic
by WHO. In starting of year 2020 it was limited with China but
now More than 206 countries is affected due to this COVID-19
and more than 3.5 billion people infected on the globe and out
of that more than 1 million people died due to this incurable
disease. WHO did not approved any vaccine till current date.
All people around the globe effected due to COVID19 and they
wrote their view on social media mainly in Twitter. In span of
last 9 month of time hundreds of billon text is written on
twitter. Sentiment Analysis is natural language processing
(NLP) application which is used to categories text sentiment as
positive view, negative view or neutral. Different machine
learning algorithms is used to extract sentiment from the text
but those ML algorithms require text in specific. But that is
major step in whole process of sentiment analysis because the
data available at tweeter is available in raw form which
required a lot of preprocessing and cleaning before using for
sentiment analysis.
In this article tweeter data related to COVID19 is discussed
in detail like that what are different ways to use tweeter data
for sentiment. What are different difficulties, what are
different steps in tweeter data preprocessing, and finally ready
form of dataset. Python is used as a programming language for
sentiment analysis in this article. Same it is also used for data
cleaning & preprocessing. Different python libraries which are
used for data preprocessing also discussed
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2021
Modified:
2024-06-11
Issued:
2024-06-10
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computer Society. 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT 2021) (pp.110-115). Los Alamitos, CA : IEEE Computer Society
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.020899 วินาที
Kumar, Anubhav
| Title | Contributor | Type |
|---|---|---|
| COVID19 tweeter dataset sentiment analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kumar, Anubhav;Yun, Kyongsik;Gebregzabiher, Teklay;Tesfay, Berihu Yohannes;Adane, Solomon Gebremeskel | บทความ/Article |
Yun, Kyongsik
| Title | Contributor | Type |
|---|---|---|
| COVID19 tweeter dataset sentiment analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kumar, Anubhav;Yun, Kyongsik;Gebregzabiher, Teklay;Tesfay, Berihu Yohannes;Adane, Solomon Gebremeskel | บทความ/Article |
Gebregzabiher, Teklay
| Title | Contributor | Type |
|---|---|---|
| COVID19 tweeter dataset sentiment analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kumar, Anubhav;Yun, Kyongsik;Gebregzabiher, Teklay;Tesfay, Berihu Yohannes;Adane, Solomon Gebremeskel | บทความ/Article |
Tesfay, Berihu Yohannes
| Title | Contributor | Type |
|---|---|---|
| COVID19 tweeter dataset sentiment analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kumar, Anubhav;Yun, Kyongsik;Gebregzabiher, Teklay;Tesfay, Berihu Yohannes;Adane, Solomon Gebremeskel | บทความ/Article |
Adane, Solomon Gebremeskel
| Title | Contributor | Type |
|---|---|---|
| COVID19 tweeter dataset sentiment analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kumar, Anubhav;Yun, Kyongsik;Gebregzabiher, Teklay;Tesfay, Berihu Yohannes;Adane, Solomon Gebremeskel | บทความ/Article |