Exploring Twitter Messages during the COVID-19 Pandemic in Sri Lanka: Topic Modelling and Emotion Analysis-Reference-Cited by-同舟云学术

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Exploring Twitter Messages during the COVID-19 Pandemic in Sri Lanka: Topic Modelling and Emotion Analysis

Published:2022-02-23 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Advanced Research in Computing (ICARC)
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Author:

Perera Suresha¹,Perera Indika¹,Ahangama Supunmali²

Affiliation:

1. University of Moratuwa,Department of Computer Science and Engineering,Katubedda,Sri Lanka

2. University of Moratuwa,Department of Information Technology,Katubedda,Sri Lanka

Funder

Ministry of Higher Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9752770/9753716/09753866.pdf?arnumber=9753866

Reference32 articles.

1. Gensim—statistical semantics in python;?eh??ek;statistical semantics gensim Python LDA SVD,2011

2. NLTK?:: nltk.tokenize.casual module,0

3. tweepy.API — Twitter API v1.1 Reference — tweepy 4.4.0 documentation;docs tweepy org,0

4. Epi curve of COVID-19 patients, Sri Lanka (as of 07/09/2021);epid gov lk,0

5. COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification;samuel,2020

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