(Weeks 5–6 | Lec 6 Hrs / Lab 12 Hrs / Ext 0 Hrs | 18 Total Hrs | 0.8 Credit Hours)
Students will:
- Generate dense word representations using Word2Vec, GloVe.
- Apply topic modeling algorithms (LDA, NMF) for corpus analysis.
- Visualize and interpret semantic spaces.
Prerequisite: ANLP 102 – Text Classification & Sentiment Analysis
Tools: Gensim, Scikit-learn
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