5th European International Conference on Industrial Engineering and Operations Management

Sentiment Analysis of Live.on Digital Provider Application Using Naive Bayes Classifier Method

0 Paper Citations
Track: Undergraduate Student Paper Competition

Digital Provider In simple terms, this digital operator is an application-based prepaid card service that can be found on the Google Play Store and App Store. Live.On is a digital provider in Indonesia which has features such as freeing its users / users in choosing quota, topping quota, cellphone numbers can choose according to Live.On application recommendations, getting SIM cards and how to pay in just one application. Digital Provider users in Indonesia from the last year are growing rapidly. Sentiment Analysis identifies emotions and opinions both positive and negative. The Naïve Bayes method can be used to classify opinions into negative, and positive opinions. This research tries to take advantage by analyzing Google Play Store reviews and Indonesian-language reviews that talk about the Digital Provider brand. The stages of sentiment analysis in this study consist of retrieving data in the playstore using scrapping, pre-processing, lexicon based, naive bayes data classification, data evaluation and data visualization. Preprocessing is done by case folding, cleaning, tokenizing, and Stemming. The results obtained are the accuracy level obtained by the results of positive sentiment as much as 247 data, negative sentiment as much as 753. and using 80% training data and 20% test data from existing data. then the acquisition of results with classification using the naïve bayes method the accuracy value is 87%, recall is 81%, precision is 61% and F1 is 69%.

Published in: 5th European International Conference on Industrial Engineering and Operations Management, Rome, Italy

Publisher: IEOM Society International
Date of Conference: July 26-28, 2022

ISBN: 978-1-7923-9161-3
ISSN/E-ISSN: 2169-8767