Python Social Media Analytics: Analyze and visualize data from Twitter, YouTube, GitHub, and more

Python Social Media Analytics: Analyze and visualize data from Twitter, YouTube, GitHub, and more

2017 | ISBN: 1787121488 | English | 312 Pages | EPUB | 27 MB

Leverage the power of Python to collect, process, and mine deep insights from social media data

About This Book
Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more
Analyze and extract actionable insights from your social data using various Python tools
A highly practical guide to conducting efficient social media analytics at scale
Who This Book Is For
If you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process.

What You Will Learn
Understand the basics of social media mining
Use PyMongo to clean, store, and access data in MongoDB
Understand user reactions and emotion detection on Facebook
Perform Twitter sentiment analysis and entity recognition using Python
Analyze video and campaign performance on YouTube
Mine popular trends on GitHub and predict the next big technology
Extract conversational topics on public internet forums
Analyze user interests on Pinterest
Perform large-scale social media analytics on the cloud

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