Sentiment Analysis of Indonesian Government Policies in Handling Covid 19 Through Twitter Data
4th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2021
; : 453-457, 2021.
Article
in English
| Scopus | ID: covidwho-1769644
ABSTRACT
This paper presented a sentiment analysis of the Indonesian government's policies in overcoming Covid 19 through twitter data using several classification methods, namely SVM, Naive Bayes, and LSTM. Based on the analysis of the twitter data, it was found that the twitter community in Indonesia gave negative sentiments to government policies in handling Covid 19. From the experimental results, it was found that SVM gave the best sentiment results compared to Naïve Bayes and LSTM by providing an accuracy of 88.5%. © 2021 IEEE.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
4th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2021
Year:
2021
Document Type:
Article
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