תמונות העטיפה

Natural Language Processing A Textbook with Python Implementation /

This textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core algorithms and key applications. Further, it contains seven step-by-step NLP workshops (total length: 14 hours) offering hands-on practice with essential Python tools lik...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
מחבר ראשי: Lee, Raymond S. T. (Author)
מחבר תאגידי: SpringerLink (Online service)
פורמט: אלקטרוני ספר אלקטרוני
שפה:אנגלית
יצא לאור: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
מהדורה:1st ed. 2024.
נושאים:
Natural language processing (Computer science).
Artificial intelligence.
Computational intelligence.
Machine learning.
Python (Computer program language).
Artificial intelligence > Data processing.
Natural Language Processing (NLP).
Artificial Intelligence.
Computational Intelligence.
Machine Learning.
Python.
Data Science.
גישה מקוונת:https://doi.org/10.1007/978-981-99-1999-4
תגים: הוספת תג
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תוכן הענינים:
  • Part I – Concepts and Technology
  • Chapter 1. Introduction to Natural Language Processing
  • Chapter 2. N-gram Language Model
  • Chapter 3. Part-of-Speech Tagging
  • Chapter 4. Syntax and Parsing
  • Chapter 5. Meaning Representation
  • Chapter 6. Semantic Analysis
  • Chapter 7. Pragmatic Analysis and Discourse
  • Chapter 8. Transfer Learning and Transformer Technology
  • Chapter 9. Major Natural Language Processing Applications
  • Part II –Natural Language Processing Workshops with Python Implementation in 14 Hours
  • Chapter 10. Workshop#1 – Basics of Natural Language Toolkit (Hour 1-2)
  • Chapter 11. Workshop#2 – N-grams Modeling with Natural Language Toolkit (Hour 3-4)
  • Chapter 12. Workshop#3 – Part-of-Speech Tagging using Natural Language Toolkit (Hour 5-6)
  • Chapter 13. Workshop#4 – Semantic Analysis and Word Vectors using spaCy (Hour 7-8)
  • Chapter 14. Workshop#5 – Sentiment Analysis and Text Classification (Hour 9-10)
  • Chapter 15. Workshop#6 – Transformers with spaCy and TensorFlow (Hour11-12)
  • Chapter 16. Workshop#7 – Building Chatbot with TensorFlow and Transformer Technology (Hour 13-14).

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