Functional Applications of Text Analytics Systems
eBook - PDF

Functional Applications of Text Analytics Systems

  1. 350 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Functional Applications of Text Analytics Systems

About this book

Text analytics consist of the statistics about a text element, which includes the word count, the word histogram, and the word frequency histogram. Most text documents of value are related to other—sometimes many other—documents, and so analytics describing the relative frequency of terms in a document compared to its peers are important for defining key words (tagging, labeling, indexing), search-responsive terms (query terms), and compressed versions of the documents (key words, summary, etc.).This clearly written text explains the functional applications of search, translation, optimization, and learning with regard to text analytics. Generation of analytics is aided by a hybrid, ensemble, or other combinatorial approach in which two or more effective analytic processes are used simultaneously, and their outputs combined to form a better "consensus". Additional value to the preservation of the information is provided through these methods. Also, since they encompass capabilities of two or more knowledge-generating systems, they can create a "superset" of access points to the data generated. The book also describes the role of functional approaches in the testing and configuration of these systems.

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Yes, you can access Functional Applications of Text Analytics Systems by Steven Simske, Marie Vans in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Functional Applications of Text Analytics Systems
  3. Contents
  4. Preface
  5. Acknowledgement
  6. List of Figures
  7. List of Tables
  8. List of Abbreviations
  9. 1 Linguistics and NLP
  10. 2 Summarization
  11. 3 Clustering, Classification, and Categorization
  12. 4 Translation
  13. 5 Optimization
  14. 6 Learning
  15. 7 Testing and Configuration
  16. Index
  17. About the Author
  18. Back Cover