Sentiment Analysis on 'Homecoming Tradition Restriction' Policy on Twitter

Heru Suroso, Indra Budi, Aris Budi Santoso, Prabu Kresna Putra

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

Abstract

The 'Homecoming Tradition Restriction' was one of the government's policies to terminate and limit the spread of the Covid-19 Virus. Apart from being a media for socializing government policies, Twitter can be utilized by the public to convey responses, opinions, and criticisms towards government policies. This study aims were to determine public sentiment towards the 'Homecoming Tradition Restriction' policy. This study uses a data mining approach to classify public sentiments delivered via Twitter. Sentiment classification models are built using two algorithms, Support Vector Machine (SVM) and Naïve Bayes. Naïve Bayes produces the highest performance measurement with a recall of 80% and an F-measure of 71.32%. This study shows that the majority of people support this government policy as indicated by the majority of sentiments that have been collected is positive, and also backed by the fact that the total number of homecoming vehicles during Eid Holiday was decreased by 62% from the previous year. This shows that social media data is relevant enough to be used in the assessment of public responses to government policies.

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.
Pages75-79
Number of pages5
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

  • covid-19
  • public policy
  • sentiment analysis

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