Sentiment Analysis on UNHCR Accepting Illegal Immigrants into Indonesia Using Naïve Bayes and SVM Algorithms on Instagram
Keywords:
Sentiment Analysis, Naïve Bayes, SVM, UNHCR, Illegal Immigrant, ReviewAbstract
Technology encompasses everything that can be used to convey messages, process data, or address problems. Human resource development is a process of enhancing the quality, skills, and competencies of individuals to adapt to environmental changes and confront future challenges. This has led to a significant increase in social media usage, resulting in a higher volume of user comments and opinions. A concrete example is the issue of illegal immigrants entering Indonesia, which has sparked both positive and negative comments from users on the Instagram platform. Sentiment analysis is an appropriate technique for analyzing user opinions and sentiments on specific topics, including issues occurring in Indonesia. In this study, Naive Bayes and SVM methods were chosen for their effective ability to classify large text datasets with satisfactory accuracy.
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