Text Mining Concepts, Implementation, and Big Data Challenge
This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text pr...
| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2019, 2019
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| Edition: | 1st ed. 2019 |
| Series: | Studies in Big Data
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Part I: Foundation
- Introduction
- Text Indexing
- Text Encoding
- Text Association
- Part II: Text Categorization
- Text Categorization: Conceptual View
- Text Categorization: Approaches
- Text Categorization: Implementation
- Text Categorization: Evaluation
- Part III: Text Clustering
- Text Clustering: Conceptual View
- Text Clustering: Approaches
- Text Clustering: Implementation
- Text Clustering: Evaluation
- Part IV: Advanced Topics
- Text Summarization
- Text Segmentation
- Taxonomy Generation
- Dynamic Document Organization
- References
- Index