
Mastering Natural Language Processing using Python
Book Details
- Publisher: Sultan Chand & Sons
- ISBN: 9789349290624
- Edition: 1st Edition
- Language: English
- Weight: 0.00g
- Title Code: 1319
- Author: Jain Goonjan (Dr.), Garg Kanika (Dr.)
About the Book
The 1st Edition of this book by Jain Goonjan (Dr.) and Garg Kanika (Dr.), published by Sultan Chand & Sons, is a comprehensive guide to Natural Language Processing (NLP). It caters to both beginners and advanced learners, providing a step-by-step approach to mastering NLP concepts and techniques. The book covers everything from basic text processing to cutting-edge machine learning models used in NLP, with practical examples and Python code snippets to illustrate the implementation.
The book introduces essential concepts like tokenization, stemming, lemmatization, and named entity recognition (NER), along with more advanced topics such as sentiment analysis and deep learning for NLP. Python-powered examples allow readers to immediately practice and apply the concepts they learn, making this book an invaluable resource for anyone interested in mastering NLP.
Salient Features
- Comprehensive coverage of key NLP topics, from basic to advanced.
- Python-powered examples to help readers practice concepts immediately.
- Structured for all levels, from beginners to advanced learners.
- Includes visual aids, diagrams, and images to simplify complex ideas.
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Description
Book Details
- Publisher: Sultan Chand & Sons
- ISBN: 9789349290624
- Edition: 1st Edition
- Language: English
- Weight: 0.00g
- Title Code: 1319
- Author: Jain Goonjan (Dr.), Garg Kanika (Dr.)
About the Book
The 1st Edition of this book by Jain Goonjan (Dr.) and Garg Kanika (Dr.), published by Sultan Chand & Sons, is a comprehensive guide to Natural Language Processing (NLP). It caters to both beginners and advanced learners, providing a step-by-step approach to mastering NLP concepts and techniques. The book covers everything from basic text processing to cutting-edge machine learning models used in NLP, with practical examples and Python code snippets to illustrate the implementation.
The book introduces essential concepts like tokenization, stemming, lemmatization, and named entity recognition (NER), along with more advanced topics such as sentiment analysis and deep learning for NLP. Python-powered examples allow readers to immediately practice and apply the concepts they learn, making this book an invaluable resource for anyone interested in mastering NLP.
Salient Features
- Comprehensive coverage of key NLP topics, from basic to advanced.
- Python-powered examples to help readers practice concepts immediately.
- Structured for all levels, from beginners to advanced learners.
- Includes visual aids, diagrams, and images to simplify complex ideas.

