OTOMATISASI REVIEW PRODUK PADA APLIKASI LAZADA DENGAN METODE NAÏVE BAYES

Abstract

Lazada Group is an e-commerce company in Southeast Asia founded by Rocket Internet in 2012, and owned by Alibaba Group. Lazada Indonesia was founded in 2012 and operates until now. Lazada is an e-commerce platform that acts as an intermediary for sellers and buyers to transact online. The concept of the Lazada e commerce platform is one stop shopping, which means all types of goods or services are available in one place. Naïve Bayes or often called Naïve Bayes classifier, is a probabilistic machine learning algorithm that is used in various classification tasks. In simple terms, Bayes' Theorem helps to find out a probability by calculating other probabilities that are still related. This journal will discuss product sentiment analysis on the Lazada application using the Naïve Bayes method. Lazada is a leading e commerce platform that faces some major challenges in managing user reviews. From the 2019 Lazada Indonesia Review data, there is 288,515 review content data. With so many reviews, the process of analyzing customer reviews is very time consuming if done manually. So, a new system is needed to overcome the problems that occur in the manual review analysis process. One solution that can be done is to create an automatic review analysis system.