International Journal of Applied Sciences and Smart Technologies
Volume 06, Issue 1, June 2024

Sentiment Analysis on Tweets about Waste Problem in Yogyakarta using SVM

Nugroho, Robertus Adi (Unknown)
Wijono, Sri Hartati (Unknown)
Pinaryanto, Kartono (Unknown)
Gunawan, Ridowati (Unknown)
Sinungharjo, F.X. (Unknown)



Article Info

Publish Date
20 Jun 2024

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%.

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Journal Info

Abbrev

IJASST

Publisher

Subject

Computer Science & IT Energy Engineering Industrial & Manufacturing Engineering

Description

International Journal of Applied Sciences and Smart Technologies (IJASST) is published by Faculty of Science and Technology, Sanata Dharma University Yogyakarta-Central Java-Indonesia. IJASST is an open-access peer reviewed journal that mediates the dissemination of academicians, researchers, and ...