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Artificial Intelligence for Big Data

You're reading from   Artificial Intelligence for Big Data Complete guide to automating Big Data solutions using Artificial Intelligence techniques

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788472173
Length 384 pages
Edition 1st Edition
Languages
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Authors (2):
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Anand Deshpande Anand Deshpande
Author Profile Icon Anand Deshpande
Anand Deshpande
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
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Toc

Table of Contents (14) Chapters Close

Preface 1. Big Data and Artificial Intelligence Systems 2. Ontology for Big Data FREE CHAPTER 3. Learning from Big Data 4. Neural Network for Big Data 5. Deep Big Data Analytics 6. Natural Language Processing 7. Fuzzy Systems 8. Genetic Programming 9. Swarm Intelligence 10. Reinforcement Learning 11. Cyber Security 12. Cognitive Computing 13. Other Books You May Enjoy

Natural Language Processing

Machine learning, or artificial intelligence, is based on data that can be structured or unstructured. Natural language processing (NLP) is an area of algorithms that is focused on processing unstructured data. This chapter is focused on unstructured data with a natural language text format. Organizations always have large corpuses of unstructured text data, either in the form of word documents, PDFs, email body, or web documents. With advances in technology, organizations have started relying on large volumes of text information. For example, a legal firm has lots of information in the form of bond papers, legal agreements, court orders, law documents, and so on. Such information assets are made up of textual information that is domain-specific (legal in this case). It is imperative that in order to utilize these valuable textual assets, and convert...

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