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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

Growth of Sentiment Analysis

The field of sentiment analysis is driven by a few main factors. Firstly, it's driven by the rapid growth in online content that's used by companies to understand and respond to how people feel. Secondly, since sentiment drives human decisions, businesses that understand their customers' sentiment have a major advantage in predicting and shaping purchasing decisions. Thirdly, much of this content is available in social media and other online services, where human opinion and sentiment is a key component in business values. Finally, NLP technology has improved significantly, allowing for a much wider application of sentiment analysis.

Monetization of Emotion

The growth of the internet and internet services has enabled new business models to work with human connection, communication, and sentiment. In December 2018, Facebook had a market capitalization of approximately $400 billion and was one of the most successful companies in connecting...

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