Dataset of Understanding Guest Review From Google Play Using Naïve Bayes-Based Data Analysis: A Study on Nanovest
Description
This dataset contains user reviews of Nanovest, an investment application for AS stocks, gold, and cryptocurrency. The data was collected from user reviews of the Nanovest app on Google Play. The reviews, written in Indonesian, reflect users' experiences and opinions regarding the app’s features, security, and functionality. By analyzing this review data, this study aims to determine the proportion of positive and negative reviews and identify the key aspects frequently mentioned by users. The findings of this study can provide recommendations for improving service quality and application performance for cryptocurrency investment platforms in Indonesia. This dataset was collected through web scraping using Python. A total of 2,000 reviews were gathered. After removing duplicate and irrelevant reviews through data cleaning, the final dataset consisted of 1,921 reviews. This study will classify the data into positive and negative sentiments using machine learning. In the initial observation, the reviews showed a mix of feedback. Many users found the app beginner-friendly, while others raised concerns about its stability and compatibility. This dataset can be useful for researchers conducting sentiment analysis in the cryptocurrency investment industry in Indonesia, helping them understand user experiences and identify areas for improvement. Additionally, it can serve as training data for machine learning models in sentiment classification. By analyzing user feedback, this dataset can serve as a foundation for investment apps to enhance application performance and preserve essential features while refining areas that need improvement in the development of cryptocurrency investment applications in Indonesia.