Claim Missing Document
Check
Articles

Found 1 Documents
Search

Sentiment Analysis on Tweets about Waste Problem in Yogyakarta using SVM Nugroho, Robertus Adi; Wijono, Sri Hartati; Pinaryanto, Kartono; Gunawan, Ridowati; Sinungharjo, F.X.
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 1, June 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i1.7415

Abstract

Yogyakarta Province is facing a waste management problem. The closure of the only Integrated Waste Treatment Plant in Piyungan, Yogyakarta, has a huge impact in society life. Much waste generated from industries and homes cannot be handled appropriately until final disposal. This problem can be solved through government policies. Its effectiveness can be seen from the public response on social media. Sentiment analysis on social media, especially Twitter, can be efficiently conducted using Support Vector Machines. Data is directly obtained from Twitter, and text processing is performed on it. The accuracy rate of sentiment analysis using SVM on the topic of garbage in Yogyakarta is quite good at 87%.