Browsing by Author "Azura, Endah"

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    Analisis Sentimen Pengguna Terhadap Aplikasi Netflix di Google Play Store Menggunakan Support Vector Machine
    (Elfitra, 2023-03) Azura, Endah; Aminuddin, Al
    During the COVID-19 pandemic, one of the activities commonly carried out by the community, such as going out of the house, was limited by the PSBB (Large-Scale Social Restrictions). This made people stay at home more and use internet access, one of which was by streaming movies using the Netflix application. Users can provide reviews of application services in the review feature on the Google Play Store. The existence of this feature is one of the considerations for prospective users to download the application. Therefore it is necessary to do sentiment analysis to find out how the user's sentiment is on the application. Therefore, this study aimed to analyze reviews and discovered the results of the accuracy of public sentiment reviews on a movie streaming application, namely Netflix on the Google Play Store using the Support Vector Machine method. In this study, data collection was carried out using web scraping techniques on Google Colaboratory. The data used was data when the pandemic spread to Indonesia, namely in 2020. The method used in this study resulted in an average accuracy of 85%.