Natural Language Processing Practical using Transformers with Python: Analyzing, processing text and build models that can understand the human language
This book includes almost everything you need to start a job as a python instructor. It includes
1. Named Entity Recognition 2. Fake News Detection 3. Paraphrase Text 4. Text Generation 5. Speech Recognition 6. Machine Translation 7. Train BERT from Scratch 8. Conversational AI Chatbot 9. Fine Tune BERT 10. Perform Text Summarization 11. Sentiment Analysis 12. Translate Languages 13. Perform Text Classification 14. Build a Text Generator 15. Build a Spam Classifier
I have explained every topic in the most simplest way and you can use these topics in multiple place
Who this book is for
This book is highly appealing to all tech-savvy students, programming enthusiasts, IT graduates, and computer science professionals who want to build strong proficiency in building Python applications. Prior understanding of Python basic coding concepts like variables, expressions, and control structures is required to begin with this book. You can also read Basic Core Python