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The Natural Language Processing Workshop

You're reading from  The Natural Language Processing Workshop

Product type Book
Published in Aug 2020
Publisher Packt
ISBN-13 9781800208421
Pages 452 pages
Edition 1st Edition
Languages
Authors (6):
Rohan Chopra Rohan Chopra
Profile icon Rohan Chopra
Aniruddha M. Godbole Aniruddha M. Godbole
Profile icon Aniruddha M. Godbole
Nipun Sadvilkar Nipun Sadvilkar
Profile icon Nipun Sadvilkar
Muzaffar Bashir Shah Muzaffar Bashir Shah
Profile icon Muzaffar Bashir Shah
Sohom Ghosh Sohom Ghosh
Profile icon Sohom Ghosh
Dwight Gunning Dwight Gunning
Profile icon Dwight Gunning
View More author details

Table of Contents (10) Chapters

Preface
1. Introduction to Natural Language Processing 2. Feature Extraction Methods 3. Developing a Text Classifier 4. Collecting Text Data with Web Scraping and APIs 5. Topic Modeling 6. Vector Representation 7. Text Generation and Summarization 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 usually ranges between 0 and 1.

The following are the advantages and disadvantages of NLP services...

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