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NLP – Syllabus
NLP – Syllabus Table Of Contents: Introduction To NLP. NLP Tools & Libraries. NLP Data Formats. NLP Pipeline. Text Preprocessing Steps. Regular Expression In NLP. Embedding Techniques. Sequence Modeling. Transformers and Pre-trained Models. Evaluation Metrics Advanced NLP Tasks. Real-World NLP Projects Ethical Considerations (1) Introduction To NLP. What is NLP ? Real-World Applications of NLP . Challenges in NLP . Differences Between NLP, NLU, and NLG . Rule-Based vs Statistical vs Neural NLP (2) NLP Tools & Library NLTK (Natural Language Toolkit) spaCy (Fast, production-ready NLP tasks) TextBlob (Simpler NLP tasks) Gensim (Topic modeling & word embeddings) Flair (Zalando) (Sequence
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Natural Language Processing
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