GitHub - piansah/Text-Mining: 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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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Data Cleaning.ipynb		Data Cleaning.ipynb
Finetuning.ipynb		Finetuning.ipynb
Modeling KNN.ipynb		Modeling KNN.ipynb
Other Algorithms.ipynb		Other Algorithms.ipynb
SMOTE & PCA.ipynb		SMOTE & PCA.ipynb

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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%.

artificial-intelligence bahasa-indonesia knn-classification legal-text-analysis machine-learning nlp scikit-learn smote-sampling text-mining uu-ite

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