Book Image

Python Social Media Analytics

By : Baihaqi Siregar, Siddhartha Chatterjee, Michal Krystyanczuk
Book Image

Python Social Media Analytics

By: Baihaqi Siregar, Siddhartha Chatterjee, Michal Krystyanczuk

Overview of this book

Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business. Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup. Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes.
Table of Contents (17 chapters)
Title Page
About the Authors
About the Reviewer
Customer Feedback

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

The first step to realize the promise of social data, which we went through in Chapter 1, Introduction to the Latest Social Media Landscape and Importance, is by harnessing it. A proper harnessing strategy can help to remove obstacles to and expedite processing. As we saw in the last chapter, many sources of social data can be used through the Application Protocol Interfaces (APIs) of these platforms. However, the data coming from APIs is not readily usable for multiple cases, hence it requires several steps before the data is ready to be analyzed and then applied. Therefore, we have dedicated a chapter that explains in detail how to do this. We have briefly touched upon the technical notion of an API in the first chapter. Here we intend to go deeper into it and help you to understand its types and usage. We also want to delve into its advantages and disadvantages so that you know exactly what to expect.

In the first...