Sentiment Analysis of Maxim Application Reviews on Google Play Store Using Support Vector Machine (SVM)

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Published Aug 30, 2022
https://doi.org/10.24252/jagti.v2i2.39
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Vol. 2 No. 2 (2022): March - August

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Muhammad Nur Akbar
Islamic State University Alauddin Makassar
Nur Hasanahlmar'iyah Rusydi
M. Hasrul H.
Nurul Shaumi Ramadhanti
Erfiana

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%.

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Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite
[1]
M. N. Akbar, N. H. Rusydi, M. H. . H., N. S. Ramadhanti, and Erfiana, “Sentiment Analysis of Maxim Application Reviews on Google Play Store Using Support Vector Machine (SVM)”, Jagti, vol. 2, no. 2, pp. 9-16, Aug. 2022.

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