(Weeks 3–4 | Lec 6 Hrs / Lab 12 Hrs / Ext 0 Hrs | 18 Total Hrs | 0.8 Credit Hours)
Students will:
- Design machine learning models for text classification tasks.
- Implement Naïve Bayes, SVM, and Logistic Regression for NLP.
- Analyze and build sentiment analysis systems.
Prerequisite: ANLP 101 – Fundamentals of NLP & Linguistic Processing
Tools: Scikit-learn, SpaCy
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