Sentiment analysis of SOCO by Sociolla e-commerce application review on Google play store site using naïvebayes classifier method

Rega Andika Rahmawati*, Wahyu Wibowo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Beauty product store SOCO (Sociolla Connect) is a application that sells about beautyproducts and tools, skin care, body care, hair care and parfume. Beauty products store app available and easy to use on Google Play Store not only there is SOCO by Sociolla or two appsonly. the large number of beauty products store apps available causes users to be more selectivein determining what apps are better and suitable for use. This can influence users to select an appby looking at the reviews that have been presented on the app's download page. These reviews are often used as a benchmark in an app's assessment. This study aims to find out the sentimentanalysis of SOCO by Sociolla app reviews using naïve bayes classifier method. The result fromcalculation of classification have a accuracy value of 75.41% with a precission value of 72.32%and a recall value of 78.98%. Wordcloud sentiment positive class obtained a word that is often used to give reviews e-commerce application SOCO by Sociolla is a good word, application, product, shopping, Sociolla, and likes, while on negative class sentiment the word that is often used is the word application, update, exit, shopping, and open.

Original languageEnglish
Title of host publication3rd International Conference on Mathematics and Sciences, ICMSc 2021
Subtitle of host publicationA Brighter Future with Tropical Innovation in the Application of Industry 4.0
EditorsRudy Agung Nugroho, Veliyana Londong Allo, Meiliyani Siringoringo, Surya Prangga, Wahidah, Rahmiati Munir, Irfan Ashari Hiyahara
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735442146
DOIs
Publication statusPublished - 11 Oct 2022
Event3rd International Conference on Mathematics and Sciences 2021: A Brighter Future with Tropical Innovation in the Application of Industry 4.0, ICMSc 2021 - East Kalimantan, Indonesia
Duration: 12 Oct 202113 Oct 2021

Publication series

NameAIP Conference Proceedings
Volume2668
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference3rd International Conference on Mathematics and Sciences 2021: A Brighter Future with Tropical Innovation in the Application of Industry 4.0, ICMSc 2021
Country/TerritoryIndonesia
CityEast Kalimantan
Period12/10/2113/10/21

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