Sentiment analysis based on appraisal theory for assessing incumbent electability

Canrakerta, Pamuji Lasiyanto Putro, Zikri Irfandi, Nur Fitriah Ayuning Budi, Achmad Nizar Hidayanto

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

Abstract

Sentiment analysis is a useful study for determining opinions by classifying text. The document used in the research comes from Twitter about public opinion about community satisfaction related to performance of incumbent. The method used is Appraisal Theory. The data used are 1587 for Jokowi related data, 1774 for Ministry related data, and 1337 government related data. The result of data analysis from this research is that people have positive sentiments for incumbent. Innovation is a term that has the highest positive sentiment, whereas imaging is the term that has the lowest negative sentiment.

Original languageEnglish
Title of host publicationProceedings - 2018 5th International Conference on Electrical Engineering Computer Science and Informatics, EECSI 2018
EditorsDeris Stiawan, Imam Much Ibnu Subroto, Munawar A. Riyadi, Christian Sri Kusuma Aditya, Zulfatman Has, Anton Yudhana, Agus Eko Minarno
PublisherInstitute of Advanced Engineering and Science (IAES)
Pages101-106
Number of pages6
ISBN (Electronic)9781538684023
DOIs
Publication statusPublished - 1 Oct 2018
Event5th International Conference on Electrical Engineering Computer Science and Informatics, EECSI 2018 - Malang, Indonesia
Duration: 16 Oct 201818 Oct 2018

Publication series

NameInternational Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
Volume2018-October
ISSN (Print)2407-439X

Conference

Conference5th International Conference on Electrical Engineering Computer Science and Informatics, EECSI 2018
CountryIndonesia
CityMalang
Period16/10/1818/10/18

Keywords

  • Appraisal theory
  • sentiment analysis
  • Twitter

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