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Ultimatics Jurnal Teknik Informatika • Vol 13 • No 2
FastText Word Embedding and Random Forest Classifier for User Feedback Sentiment Classification in Bahasa Indonesia
January 2022 • Yehezkiel Gunawan, Julio Christian Young, Andre Rusli
User feedback nowadays become a platform for software developer to identify and understand user requirements, preferences, and user's complaints. It is important for the developer to identify the problem that exist in user feedback. According to software growth, user amount also growth. Read and classify one by one manually are wasting time and energy. As the solution for the problem, sentiment analysis system using Random Forest Classifier which use word embedding as the feature extraction is made to help to clas…
Word Embedding
Computer Science
Random Forest
Artificial Intelligence
Machine Learning
Mathematics
Programming Language
Geometry