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NLP-Natural Language Processing in Python for Beginners

You're reading from   NLP-Natural Language Processing in Python for Beginners Learn Natural Language Processing Using Spacy, NLTK, PyTorch, Text Preprocessing, Embeddings, Word2Vec, and Deep Learning

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Product type Video
Published in Aug 2021
Publisher Packt
ISBN-13 9781803249193
Length 23hrs 31mins
Edition 1st Edition
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Table of Contents (26) Chapters Close

1. Introduction FREE CHAPTER 2. Introduction (Regular Expressions) 3. Metacharacters (Regular Expressions) 4. Pattern Objects (Regular Expressions) 5. More Metacharacters (Regular Expressions) 6. String Modification (Regular Expressions) 7. Words and Tokens (Text Preprocessing) 8. Sentiment Classification (Text Preprocessing) 9. Language Independent Tokenization (Text Preprocessing) 10. Text Normalization(Text Preprocessing) 11. String Matching and Spelling Correction (Text Preprocessing) 12. Language Modeling 13. Topic Modelling with Word and Document Representations 14. Word Embeddings LSI 15. Word Semantics 16. Word2vec(Optional) 17. Need of Deep Learning for NLP (NLP with Deep Learning DNN) 18. Introduction (NLP with Deep Learning DNN) 19. Training (NLP with Deep Learning DNN) 20. Hyperparameters (NLP with Deep Learning DNN) 21. Introduction (NLP with Deep Learning RNN) 22. Mini-Project Language Modelling (NLP with Deep Learning RNN) 23. Mini-Project Sentiment Classification (NLP with Deep Learning RNN) 24. RNN in PyTorch (NLP with Deep Learning RNN) 25. Advanced RNN Models (NLP with Deep Learning RNN) 26. Neural Machine Translation
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NLP-Natural Language Processing in Python for Beginners [Video]
Published in: Aug 2021
Publisher: Packt
ISBN-13: 9781803249193
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