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You're reading from Python Social Media Analytics Analyze and visualize data from Twitter, YouTube, GitHub, and more

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787121485

Length 312 pages

Edition 1st Edition

Languages

Python

Tools

GitHub

Concepts

Data Analysis

Authors (3):

Baihaqi Siregar

Siddhartha Chatterjee

Michal Krystyanczuk

View More author details

Table of Contents (17) Chapters

Title Page

Credits

About the Authors

Acknowledgments

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Introduction to the Latest Social Media Landscape and Importance FREE CHAPTER

2. Harnessing Social Data - Connecting, Capturing, and Cleaning

3. Uncovering Brand Activity, Popularity, and Emotions on Facebook

4. Analyzing Twitter Using Sentiment Analysis and Entity Recognition

5. Campaigns and Consumer Reaction Analytics on YouTube – Structured and Unstructured

6. The Next Great Technology – Trends Mining on GitHub

7. Scraping and Extracting Conversational Topics on Internet Forums

8. Demystifying Pinterest through Network Analysis of Users Interests

9. Social Data Analytics at Scale – Spark and Amazon Web Services

Uncovering emotions

So far in the chapter, we have applied text analysis techniques to extract a lot of information about the Google brand page on Facebook. Now, we'll use some advanced techniques like emotion analysis to get more qualitative about the content. In order to achieve, this we'll be using the Alchemy API, which is now a part of IBM. The Alchemy API has an interesting set of tools that allow you to perform semantic analysis and natural language processing.

How to extract emotions?

We will now have a brief discussion on Emotion Extraction.

Introducing the Alchemy API

Alchemy API became a part of IBM Watson technology, which currently is offered on the Bluemix platform.

The service, called AlchemyLanguage, is a collection of text analysis functions that derive semantic information from your content. It can be accessed via API calls and a rich portfolio of methods.