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
Credits
About the Authors
Acknowledgments
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Acknowledgments

This book is a result of our experience with data science and working with huge amounts of unstructured data from the web. Our intention was to provide a practical book on social media analytics with strong storytelling. In the whole process of analytics, the scripting of a story around the results is as important as the technicalities involved. It's been a long journey, chapter to chapter, and it would not have been possible without our support team that has helped us all through. We would like to deeply thank our mentors, Air commodore TK Chatterjee (retired) and Mr. Wojciech Krystyanczuk, who have motivated and helped us with their feedback, edits, and reviews throughout the journey.

We would also like to thank our co-author, Mr. Arjun Chatterjee, for sharing his brilliant technical knowledge and writing the chapter on Social Media Analytics at Scale. Above all, we would also like to thank the Packt editorial team for their encouragement and patience with us. We sincerely hope that the readers will find this book useful in their efforts to explore social media for creative purposes.