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Artificial Intelligence for Big Data

You're reading from  Artificial Intelligence for Big Data

Product type Book
Published in May 2018
Publisher Packt
ISBN-13 9781788472173
Pages 384 pages
Edition 1st Edition
Languages
Authors (2):
Anand Deshpande Anand Deshpande
Profile icon Anand Deshpande
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details
Toc

Table of Contents (19) Chapters close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Big Data and Artificial Intelligence Systems 2. Ontology for Big Data 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 1. Other Books You May Enjoy Index

Natural language processing basics


Before we state some of the high-level steps involved in NLP, it is important to establish a definition of NLP. In simple terms, NLP is a collection of processes, algorithms, and tools used by intelligent systems to interpret text data written in human language for actionable insights. The mention of text data makes one fact about NLP very evident. NLP is all about interpreting unstructured data. NLP organizes unstructured text data and uses sophisticated methods to solve a plethora of problems, such as sentiment analysis, document classification, and text summarization. In this section, we will talk about some of the basic steps involved in NLP.

In the subsequent sections, we will take a deep dive into those steps. The following diagram represents some of the basics hierarchical steps involved in NLP:

Let us look at each of these steps briefly:

  • Type of machine learning: NLP can be performed either using supervised learning algorithms or as unsupervised learning...
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