Analisis Sentimen terhadap Ulasan Paris Van Java Resort Lifestyle Place di Kota Bandung Menggunakan Algoritma KNN

Abstract

As the times move forward, technologies are following to develop with the times, especially internet technology. Nowadays, people can find out information about shopping center via the Internet. One of the best-known shopping centers in Bandung is Paris van Java resort lifestyle place. The person's consideration of going to the shopping center is based on the location and opinions of the person who once visited that shop. With a huge amount of opinion and an underlying amount of information that is of great value causes the information to become dangerous if the person misunderstood it. With all these problems, sentiment analysis one of the solution that can prevent the problems of these misunderstanding, in which sentiment analysis works to analyze each text to determine the level of positive or negative sentiment values. In this study, the sentiment analysis dataset goes first to the preprocessing stage, extraction of the Term Frequency-Inverse Document Frequency (TF-IDF) feature then classified using the K-Nearest Neighbor method, The K-Nearest Neighbor method was chosen because this method is one method that can classify text and data, besides K-Nearest neighbor method has a good classification accuracy where the classification process is easy and quite simple in its implementation. With a system that built using TF-IDF Unigram and Euclidean Distance, the best accuracy value is 88.29%.

Penerapan Algoritma K-Nearest Neighbor Dan Fitur Ekstraksi N-Gram Dalam Analisis Sentimen Berbasis Aspek

“…Confusion matrix merupakan sebuah teknik yang mudah dan efektif dalam mengukur kinerja sistem klasifikasi. Tujuan utama dari confusion matrix adalah untuk menilai performa atau akurasi dari suatu sistem klasifikasi dalam mengklasifikasikan data uji [18]. 6 hasil akurasi dengan menggunakan skema pembagian dataset menjadi 80:20, 70:30, dan 60:40 antara data latih dan data uji menghasilkan akurasi yang beragam.…”

Analisis Sentimen Pengguna Twitter Terhadap Fitur Gratis Ongkos Kirim Pada Aplikasi Shopee Indonesia Menggunakan Algoritma K-Nearest Neighbor

“…Algoritma K-Nearest Neighbor (KNN) ialah algoritma dengan cara kerjanya yaitu dengan menemukan jarak terdekat berdasarkan nilai k dalam data training yang paling mendekati dengan data testing [13]…”

Covid-19 Sentiment Analysis Using Random Forest Classification

“…This research states that this method is used as an approach for analysis. 1500 tweets with data using the TF-IDF algorithm by balancing the data using SMOTE then trained using the Random Forest algorithm and validated using the K-Fold Cross Validation and Confusion Matrix techniques to evaluate model performance (Amardita et al, 2022). The research results show that public sentiment towards Sinovac Vaccination is positive (Dwiki et al, 2021).…”