Agents: Journal of Artificial Intelligence and Data Science
Vol 2 No 2 (2022): Maret - Agustus

Sentiment Analysis Terhadap Review Aplikasi Maxim di Google Play Store Menggunakan Support Vector Machine (SVM)

Muhammad Nur Akbar (Universitas Islam Negeri Makassar)
Nur Hasanahlmar'iyah Rusydi (Unknown)
M. Hasrul H. (Unknown)
Nurul Shaumi Ramadhanti (Unknown)
Erfiana (Unknown)



Article Info

Publish Date
30 Aug 2022

Abstract

Before selecting and installing applications on the Google Play Store, users often read reviews of other users. This makes user review analysis very attractive for app owners to make future decisions. One of them is the Maxim application, a new online transportation application that provides different services from similar applications. This study aims to analyze user reviews of the maxim application on the Google Play Store using sentiment analysis. The research data is taken from the Google Play Store website, while the data taken is in the form of a review text. This user review analysis uses the Support Vector Machine (SVM) method producing an accuracy of 79%.

Copyrights © 2022






Journal Info

Abbrev

agents

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Description

The AGENTS published the original manuscripts from researchers, practitioners, and students in the various topics of Artificial Intelligence and Data Science including but not limited to fuzzy logic, genetic algorithm, evolutionary computation, neural network, hybrid systems, adaptation and learning ...