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News classification using TF-IDF and Word2Vec as text representation with random forest and SVM as the model for classification. This project aims to classify Indonesian news onto three category entertainment, sports, and politics.
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News classification using TF-IDF and Word2Vec as text representation with random forest and SVM as the model for classification. This project aims to classify Indonesian news onto three category entertainment, sports, and politics.