Analisis Dataset menggunakan Sentiment Analysis (Studi Kasus Pada Tripadvisor)

Abstract

In this study, sentiment analysis will be carried out on reviews and ratings on datasets originating from the Tripadvisor application. There are several stages to carry out sentiment analysis, including importing libraries, collecting datasets, dataset inspection, preprocessing data, training classifier models using SGD Classifier, Random Forest Classifier, SVM Classifier, KNearest Neighbors Classifier, Naïve Bayes Classifier, Overall Classifier Accuracy, and also data visualization.