Sentiment Analysis of the Maps Application Uses the SVM Method and Predicts the Growth of Maps Application Users

DOI

10.2991/978-94-6463-284-2_27How to use a DOI?

Keywords

Google Play; Sentiment Analysis; Google Play Support Vector Machine

Abstract

Nowadays, the directions application is often used by many people, this application is very helpful for its users in finding the best travel routes, by simply entering the address code, this application can provide routes that can be passed for various types of vehicles. In Indonesia itself there are several directions applications that are widely used with different positive and negative comments. There are several types of applications that will be used in this study, namely Google Maps, Maps.me, and Waze, the data collected is user comment data by means of web scraping. The purpose of this research is to find out the user reviews of each application used as research material. Data processing used the Support Vector Machine method, 750 comments were taken from each application, and the final result was Sygic Maps being the application with the highest score based on the results of 87.47% accuracy, 87.47% precision, and 99.85% on recall value. The Sygic Maps application has 31% positive comments, then Here We Go gets 29%, Maps.me gets 24%, then Waze has 14% positive comments, and google maps has 1% positive comments. With this, Sygic Maps became the application with the highest rating based on positive comments. In this study the Google Maps application became the application with the most users and comments with a total of 655,909, and the application with the least number of reviews was the Here We Go application with a total of 3,394 comments.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ilham Fariz Asya Mubarok
AU  - Tukino
AU  - Baenil Huda
AU  - Aprilia Putri Nardilasari
AU  - Risa Nur Islami
AU  - Muhammad Khaerudin
PY  - 2023
DA  - 2023/11/09
TI  - Sentiment Analysis of the Maps Application Uses the SVM Method and Predicts the Growth of Maps Application Users
BT  - Proceedings of the 4th Borobudur International Symposium on Science and Technology 2022 (BIS-STE 2022)
PB  - Atlantis Press
SP  - 225
EP  - 232
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-284-2_27
DO  - 10.2991/978-94-6463-284-2_27
ID  - Mubarok2023
ER  -