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Natural Language Processing Fundamentals

You're reading from   Natural Language Processing Fundamentals Build intelligent applications that can interpret the human language to deliver impactful results

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Product type Paperback
Published in Mar 2019
Publisher
ISBN-13 9781789954043
Length 374 pages
Edition 1st Edition
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Authors (2):
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Dwight Gunning Dwight Gunning
Author Profile Icon Dwight Gunning
Dwight Gunning
Sohom Ghosh Sohom Ghosh
Author Profile Icon Sohom Ghosh
Sohom Ghosh
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Table of Contents (10) Chapters Close

Preface 1. Introduction to Natural Language Processing FREE CHAPTER 2. Basic Feature Extraction Methods 3. Developing a Text classifier 4. Collecting Text Data from the Web 5. Topic Modeling 6. Text Summarization and Text Generation 7. Vector Representation 8. Sentiment Analysis Appendix

History of NLP

NLP is an area that overlaps with others. It has emerged from fields such as artificial intelligence, linguistics, formal languages, and compilers. With the advancement of computing technologies and the increased availability of data, the way natural language is being processed has changed. Previously, a traditional rule-based system was used for computations. Today, computations on natural language are being done using machine learning and deep learning techniques.

The major work on machine learning-based NLP started during the 1980s. During the 1980s, developments across various disciplines such as artificial intelligence, linguistics, formal languages, and computations led to the emergence of an interdisciplinary subject called NLP. In the next section, we'll look at text analytics and how it differs from NLP.

You have been reading a chapter from
Natural Language Processing Fundamentals
Published in: Mar 2019
Publisher:
ISBN-13: 9781789954043
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