Analisis Sentimen Pengguna Aplikasi Instagram Pada Situs Google Play Menggunakan Metode Naïve Bayes
DOI:
https://doi.org/10.30865/mib.v8i2.7388Keywords:
Instagram, Naïve Bayes, Google Play, Application, AnalysisAbstract
Instagram is an application that is widely used by students because it is easy to use and information is easy to get. Instagram has features that allow you to send photos and videos with unique designs, making it an interesting learning medium. In 2023 the Instagram app has managed to achieve more than 5M downloads on the Google Play Store platform and obtained a rating of 4.2. In some situations, there may be a discrepancy between the rating given and the actual review content. In the app development process, it is important for developers to not only pay attention to the number of ratings, but also understand the views and opinions of users. Therefore, developers need to have the ability to analyze each opinion given by users. One approach that can be used is through sentiment analysis using the Naïve Bayes algorithm. The data used is Instagram app reviews, with positive reviews and negative reviews. This analysis produces the best performance with accuracy 78,85%, precision 78,85%, recall 100% and f1-score 88,17% values.
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