Analisis Sentimen Ulasan Google Play Store Aplikasi Google Chrome Menggunakan Metode Convolutional Neural Network (CNN)
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Institusion
Universitas Muhammadiyah Malang
Author
Bintang, Rachmaddillah Ibnu
Subject
T Technology (General)
Datestamp
2023-11-17 08:35:31
Abstract :
Google Chrome is an application that has a function to search, access, and display all forms of information. Chrome was first released on the android platform on February 7, 2012 by Google. chrome can be downloaded via the google play store in which users can provide reviews related to the applications in the google play store. This research aims to conduct sentiment analysis and try CNN performance between positive reviews and negative reviews on Google Play Store reviews of Google Chrome applications. The dataset used in this study amounted to 10,000 reviews. The results obtained from data labeling are 8392 negative sentiments and 1908 positive reviews. Due to data imbalance, data undersampling is carried out and 3217 negative sentiments and 1908 positive sentiments are obtained. This study uses two scenarios with different layers and also compares the CNN and Naïve Bayes methods on the ROC curve. The results of this study obtained the best scenario, namely the first scenario, the highest accuracy of the first scenario obtained a result of 92%. The AUC value of the first scenario reached 0.88.
Google Chrome is an application that has a function to search, access, and display all forms of information. Chrome was first released on the android platform on February 7, 2012 by Google. chrome can be downloaded via the google play store in which users can provide reviews related to the applications in the google play store. This research aims to conduct sentiment analysis and try CNN performance between positive reviews and negative reviews on Google Play Store reviews of Google Chrome applications. The dataset used in this study amounted to 10,000 reviews. The results obtained from data labeling are 8392 negative sentiments and 1908 positive reviews. Due to data imbalance, data undersampling is carried out and 3217 negative sentiments and 1908 positive sentiments are obtained. This study uses two scenarios with different layers and also compares the CNN and Naïve Bayes methods on the ROC curve. The results of this study obtained the best scenario, namely the first scenario, the highest accuracy of the first scenario obtained a result of 92%. The AUC value of the first scenario reached 0.88.
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