Open AccessThe Sentiment Analysis Reviewing Indosat Services from Twitter Using the Naive Bayes Classifier
Author(s) -
Febri Astiko,
Achmad Khodar
Publication year - 2020
Publication title -
journal of applied computer science and technology
Language(s) - English
Resource type - Journals
ISSN - 2723-1453
DOI - 10.52158/jacost.v1i2.79
Subject(s) - naive bayes classifier , sentiment analysis , computer science , classifier (uml) , social media , artificial intelligence , machine learning , bayes' theorem , support vector machine , world wide web , bayesian probability
This study aims to design a machine learning model of sentiment analysis on Indosat Ooredoo service reviews on social media twitter using the Naive Bayes algorithm as a classifier of positive and negative labels. This sentiment analysis uses machine learning to get patterns an model that can be used again to predict new data.