Python Social Media Analytics
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. You will learn how to harness and mine social data from various social networking platforms such as Twitter, Facebook, YouTube, Pinterest and other social forums. You will also see how to clean this data using various Python APIs and structure and store it in MongoDB using PyMongo. 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.
Offered by
Difficulty Level
Intermediate
Completion Time
10h24m
Language
English
About Book
Who Is This Book 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.
Python Social Media Analytics
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h24m total length
Social Media and Social Media Analytics in a Nutshell
Harness the Social Data - Connecting, Capturing and Cleaning
Uncovering Brand activity, emotions and popularity on Facebook
Analysing Twitter using sentiment analysis and entity recognition
Campaigns and consumer reaction analytics on Youtube (structured and unstructured)
What will be the next great technology ? Trends mining on Github
Scraping and extracting conversational Topics on Internet Forums
Demystifying Pinterest through Network Analysis of user’s interests
Social Data Analytics at Scale (Spark, Amazon Web services)
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