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Text classification project using K-Nearest Neighbors (KNN) to classify articles from the Indonesian UU ITE law. Includes data cleaning, SMOTE, PCA, model training, and hyperparameter tuning. Final accuracy improved to 82.62%.

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piansah/Text-Mining

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Text classification project using K-Nearest Neighbors (KNN) to classify articles from the Indonesian UU ITE law. Includes data cleaning, SMOTE, PCA, model training, and hyperparameter tuning. Final accuracy improved to 82.62%.

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