Natural Language Processing for Beginners
James Ferry
"Natural Language Processing for Beginners: A Comprehensive Beginner's Guide to Understanding and Applying Natural Language Processing Techniques" is your gateway to the exciting world of NLP. This book is meticulously crafted for those new to the field, providing a solid foundation in the essential concepts, techniques, and applications of NLP.
Dive into the fundamentals of how computers understand and process human language. Starting with the basics, you'll explore core topics such as text preprocessing, tokenization, part-of-speech tagging, and named entity recognition. The book then guides you through more advanced subjects, including sentiment analysis, machine translation, and text classification, using both traditional machine learning and cutting-edge deep learning approaches.
With clear explanations, practical examples, and hands-on exercises, this guide ensures you gain both theoretical knowledge and practical skills. You'll learn how to gather and preprocess data, choose the right models, train and evaluate them, and finally deploy NLP systems in real-world scenarios.
"Natural Language Processing for Beginners" offers a comprehensive and accessible introduction to the fascinating field of NLP, equipping you with the tools and knowledge to start your journey in this rapidly evolving domain.
Duration - 19h 45m.
Author - James Ferry.
Narrator - James Ferry.
Published Date - Tuesday, 16 January 2024.
Copyright - © 2024 James Ferry ©.
Location:
United States
Description:
"Natural Language Processing for Beginners: A Comprehensive Beginner's Guide to Understanding and Applying Natural Language Processing Techniques" is your gateway to the exciting world of NLP. This book is meticulously crafted for those new to the field, providing a solid foundation in the essential concepts, techniques, and applications of NLP. Dive into the fundamentals of how computers understand and process human language. Starting with the basics, you'll explore core topics such as text preprocessing, tokenization, part-of-speech tagging, and named entity recognition. The book then guides you through more advanced subjects, including sentiment analysis, machine translation, and text classification, using both traditional machine learning and cutting-edge deep learning approaches. With clear explanations, practical examples, and hands-on exercises, this guide ensures you gain both theoretical knowledge and practical skills. You'll learn how to gather and preprocess data, choose the right models, train and evaluate them, and finally deploy NLP systems in real-world scenarios. "Natural Language Processing for Beginners" offers a comprehensive and accessible introduction to the fascinating field of NLP, equipping you with the tools and knowledge to start your journey in this rapidly evolving domain. Duration - 19h 45m. Author - James Ferry. Narrator - James Ferry. Published Date - Tuesday, 16 January 2024. Copyright - © 2024 James Ferry ©.
Language:
English
Opening Credits
Duration:00:12:33
1 introduction to natural language
Duration:14:42:25
2 fundamental concepts in nlp
Duration:15:06:37
3 basic techniques and tools
Duration:13:57:01
4 text classification
Duration:16:41:23
5 sentiment analysis
Duration:13:23:30
6 named entity recognition (ner)
Duration:26:57:18
7 part of speech tagging
Duration:23:08:42
8 language modeling
Duration:17:11:01
9 machine translation
Duration:31:51:27
10 text generation
Duration:12:38:19
Conclusion
Duration:01:41:58
Ending Credits
Duration:00:13:04