Community Understanding of the Importance of Social Distancing Using Sentiment Analysis in Twitter

Tri Buana Tungga Dewi, Nadina Adelia Indrawan, Indra Budi, Aris Budi Santoso, Prabu Kresna Putra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The government may use social media, such as Twitter, to socialize a policy or a program to society. We may predict whether a program is successful or not by analyzing the sentiment of societies towards such program or communities through their tweets. The latest program of Indonesia's government during the COVID-19 pandemic is to make people do social distancing. It is socialized using the hashtag of stay at home appeal (#dirumahaja). The objective of this study is to analyze the understanding of societies regarding this program through people's tweet. We compared two classification algorithms (Naive Bayes and Random Forest), using tokenization and unigram features to build classification model of tweet sentiment. The tweets that included some hashtags regarding social distancing program, were collected with 5101 tweets in total. The highest accuracy is obtained using the Random Forest algorithm and term weighting feature, which yielded 95.98%. From the model we found that the number of positive sentiments is greater than the negative sentiment. Which can be concluded that the societies are understand and agree to the social distancing program.

Original languageEnglish
Title of host publication2020 3rd International Conference on Computer and Informatics Engineering, IC2IE 2020
EditorsIndra Hermawan, Muhammad Yusuf Bagus Rasyidin, Malisa Huzaifa, Iklima Ermis Ismail, Asep Taufik Muharram, Anggi Mardiyono, Noorlela Marcheeta, Dewi Kurniawati, Ade Rahma Yuly, Ariawan Andi Suhanda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages336-341
Number of pages6
ISBN (Electronic)9781728182476
DOIs
Publication statusPublished - 15 Sep 2020
Event3rd International Conference on Computer and Informatics Engineering, IC2IE 2020 - Depok, Indonesia
Duration: 15 Sep 202016 Sep 2020

Publication series

Name2020 3rd International Conference on Computer and Informatics Engineering, IC2IE 2020

Conference

Conference3rd International Conference on Computer and Informatics Engineering, IC2IE 2020
CountryIndonesia
CityDepok
Period15/09/2016/09/20

Keywords

  • classification
  • COVID-19
  • naÏve Bayes
  • random forest
  • sentiment analysis
  • social appeal

Fingerprint Dive into the research topics of 'Community Understanding of the Importance of Social Distancing Using Sentiment Analysis in Twitter'. Together they form a unique fingerprint.

Cite this