Week 1 | Introduction to Natural Language Processing and AI |
Week 2 | Text Preprocessing Techniques: Cleaning, Tokenization, and Normalization |
Week 3 | Part-of-Speech Tagging and Named Entity Recognition |
Week 4 | Sentiment Analysis and Opinion Mining |
QUIZ 1 |
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Week 5 | Topic Modeling: Latent Dirichlet Allocation (LDA) and Latent Semantic Analysis (LSA) |
Week 6 | Introduction to Machine Learning for NLP: Supervised and Unsupervised Learning |
Week 7 | Text Classification with Naive Bayes, Support Vector Machines, and Neural Networks |
Week 8 | Sequence-to-Sequence Models for Language Translation |
QUIZ 2 |
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Week 9 | Chatbot Development with Rule-Based Systems and Sequence Models |
Week 10 | Advanced Topics in NLP: Transformers and BERT |
Week 11 | Information Extraction and Named Entity Recognition |
Week 12 | Project Development: Building and Deploying NLP and AI Systems |
PROJECT REPORT |