Sentiment Analysis Of Traveloka App Using Naïve Bayes Classifier Method

Author:

Watrianthos Ronal

Abstract

Traveloka is currently the most popular startup in Indonesia with share traffic reaching 78.49% using smartphone and monthly visits whichreached 28.92 million based on a report in similarweb.com in May 2019. Traveloka, based on record, has been downloaded 10 million times since 2014with rating reaches 4.4 out of 5 stars. As of May 2019, there were 386,646 reviews from users in the PlayStore, ranging from positive and negativereviews. However, it is necessary to analyze with certain methods to summarize the review. Every review given will get a conclusion after collected, andsentiment analysis will provide user experiences from the Traveloka application within certain period. This research was conducted using the NaïveBayes Classifier method based on a review from the playstore to determine service quality. The purpose of this study is to find out the perceptions ofusers based on the measurement of service quality so that the results can be an evaluation for Traveloka in improving services. Studies show that duringthis period public opinion produced negative sentiments with Vmap value of 0.31020 greater than positive sentiment with a value of 0.16132.

Publisher

Center for Open Science

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sentiment analysis on examining students’ opinions regarding NDUM e-learning during COVID-19;AIP Conference Proceedings;2024

2. Sentiment analysis for customer review: Case study of Traveloka;Procedia Computer Science;2023

3. Opinion classification for IMDb review based using naive bayes method;PROCEEDINGS OF THE 9TH INTERNATIONAL SYMPOSIUM ON INNOVATIVE BIOPRODUCTION INDONESIA ON BIOTECHNOLOGY AND BIOENGINEERING 2022: Strengthening Bioeconomy through Applied Biotechnology, Bioengineering, and Biodiversity;2023

4. Sentiment Analysis of User-Generated Reviews of Women Safety Mobile Applications;2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT);2022-02-16

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