Нүүр зураг

Applied Text Mining

This textbook covers the concepts, theories, and implementations of text mining and natural language processing (NLP). It covers both the theory and the practical implementation, and every concept is explained with simple and easy-to-understand examples. It consists of three parts. In Part 1 which c...

Бүрэн тодорхойлолт

-д хадгалсан:
Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Qamar, Usman (Зохиогч), Raza, Muhammad Summair (Зохиогч)
Байгууллагын зохиогч: SpringerLink (Online service)
Формат: Цахим Цахим ном
Хэл сонгох:англи
Хэвлэсэн: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Хэвлэл:1st ed. 2024.
Нөхцлүүд:
Data mining.
Machine learning.
Natural language processing (Computer science).
Information storage and retrieval systems.
Data Mining and Knowledge Discovery.
Machine Learning.
Natural Language Processing (NLP).
Information Storage and Retrieval.
Онлайн хандалт:https://doi.org/10.1007/978-3-031-51917-8
Шошгууд: Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
Агуулга:
  • Part 1: Text Mining Basics
  • 1. Introduction to Text Mining
  • 2. Text Processing
  • 3. Text Mining Applications
  • Part 2: Text Analytics
  • 4. Feature Engineering for Text Representations
  • 5. Text Classification
  • 6. Text Clustering
  • 7. Text Summarization and Topic Modeling
  • 8. Taxonomy Generation and Dynamic Document Organization
  • 9. Visualization Approaches
  • Part 3: Deep Learning in Text Mining
  • 10. Text Mining Through Deep Learning
  • 11. Lexical Analysis and Parsing using Deep Learning
  • 12. Machine Translation using Deep Learning.

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