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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
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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

Tools Used for Sentiment Analysis

There are a lot of tools capable of analyzing sentiment. Each tool has its advantages and disadvantages. We will look at each of them in detail.

NLP Services from Major Cloud Providers

Online sentiment analysis is carried out by all major cloud services providers, such as Amazon, Microsoft, Google, and IBM. You can usually find sentiment analysis as a part of their text analysis services or general machine learning services. Online services offer the convenience of packaging all the necessary algorithms behind the provider's API. These algorithms are capable of performing sentiment analysis. To use such services, you need to provide the text or audio sources, and in return, the services will provide you with a measure of the sentiment. These services usually return a standard, simple score, such as positive, negative, or neutral. The score normally ranges between 0 and 1. Here are the advantages and disadvantages of NLP services from major...

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