July 2016
Beginner to intermediate
338 pages
7h 43m
English
Overview
Unlock the potential of social media data with advanced Python techniques for acquisition and analysis. This hands-on guide explores mining data from platforms like Facebook, Twitter, and Quora, transforming unstructured data into valuable insights through practical examples and clear explanations.
What this Book will help me do
- Understand how to interact with social media APIs and extract data programmatically using Python.
- Learn to structure and store social media data in a standardized format for efficient analysis.
- Apply Python's data science libraries to explore, process, and derive insights from social media datasets.
- Develop skills in text analytics to identify key themes and sentiments within social conversations.
- Design effective visualizations to present findings and uncover patterns in social media data.
Author(s)
None Bonzanini is an experienced Python developer and data scientist with a strong interest in social media analytics. With a passion for solving real-world data problems, he delivers insights through his approachable yet technically detailed writing style. Drawing from his work experience, he equips readers with practical tools to tackle data mining challenges.
Who is it for?
This book is designed for intermediate Python programmers excited to delve into the world of social media data mining. It's an ideal resource if you aim to develop practical skills in interacting with public APIs, analyzing unstructured data, and producing actionable results. If you have prior exposure to Python libraries and want to apply them in statistical analysis for real-world projects, this book is for you.
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