This repository contains assignments and projects completed during the NLP course at Ho Chi Minh City University of Technology.
- Applied text preprocessing, feature engineering, and machine learning models for NLP tasks.
- Implemented classification algorithms such as Logistic Regression, SVM, Decision Trees.
- Evaluated models using accuracy, precision, recall, and confusion matrix.
- Explored feature extraction methods: Bag-of-Words, TF-IDF.
2_2_*: Text preprocessing & feature extraction exercises.2_3_Extracted_Features/: Feature engineering experiments.2_4_*: Classification models (Logistic Regression, SVM, Decision Tree).assignmentPart2_*: Group project implementations.kq.txt: Results summary.
- Achieved 87% accuracy with SVM on the classification task.
- Compared multiple models and identified strengths & weaknesses.
- Python (scikit-learn, NumPy, Pandas, Matplotlib)
- Jupyter Notebook