Book Image

Mastering Social Media Mining with Python

By : Marco Bonzanini
Book Image

Mastering Social Media Mining with Python

By: Marco Bonzanini

Overview of this book

Your social media is filled with a wealth of hidden data – unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data.

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Mastering Social Media Mining with Python
Marco Bonzanini
Jul, 2016 | 338 pages
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Table of Contents (15 chapters)
Mastering Social Media Mining with Python
Mastering Social Media Mining with Python
Credits
Credits
About the Author
About the Author
About the Reviewer
About the Reviewer
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Social Media, Social Data, and Python
Social Media, Social Data, and Python
Getting started
Social media - challenges and opportunities
Python tools for data science
Processing data in Python
Building complex data pipelines
Summary
2
#MiningTwitter – Hashtags, Topics, and Time Series
#MiningTwitter – Hashtags, Topics, and Time Series
Getting started
The Twitter API
Collecting data from Twitter
Analyzing tweets - entity analysis
Analyzing tweets - text analysis
Analyzing tweets - time series analysis
Summary
3
Users, Followers, and Communities on Twitter
Users, Followers, and Communities on Twitter
Users, friends, and followers
Mining your followers
Mining the conversation
Plotting tweets on a map
Summary
4
Posts, Pages, and User Interactions on Facebook
Posts, Pages, and User Interactions on Facebook
The Facebook Graph API
Mining your posts
Mining Facebook Pages
Summary
5
Topic Analysis on Google+
Topic Analysis on Google+
Getting started with the Google+ API
Embedding the search results in a web GUI
Notes and activities from a Google+ page
Text analysis and TF-IDF on notes
Summary
6
Questions and Answers on Stack Exchange
Questions and Answers on Stack Exchange
Questions and answers
Getting started with the Stack Exchange API
Working with Stack Exchange data dumps
Text classification for question tags
Summary
7
Blogs, RSS, Wikipedia, and Natural Language Processing
Blogs, RSS, Wikipedia, and Natural Language Processing
Blogs and NLP
Getting data from blogs and websites
NLP Basics
Summary
8
Mining All the Data!
Mining All the Data!
Many social APIs
Mining videos on YouTube
Mining open source software on GitHub
Mining local businesses on Yelp
Building a custom Python client
Summary
9
Linked Data and the Semantic Web
Linked Data and the Semantic Web
A Web of Data
Mining relations from DBpedia
Mining geo coordinates
Summary

Mining local businesses on Yelp

Yelp is an online service that hosts crowd-sourced reviews about local businesses, such as bars and restaurants (https://www.yelp.com). Visited by 135 million monthly users, its content is mainly community-driven.

Yelp offers three APIs that can be used to search for and interact with data about local businesses. The three APIs are grouped depending on their purpose. The search API is the entry point for keyword-based search. The business API is used to look for information about a specific business. The phone search API is used to search for a business by phone number.

The Yelp API has the rate limit of 25,000 calls per day.

This section describes the basic steps to set up an application that searches the Yelp database for particular keywords.

The access to the APIs is protected by tokens. The first step to access any of the APIs, after registering an account on Yelp, is to obtain the tokens on the developers' website (https://www.yelp.com/developers). Figure...

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