Book

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 byPackt Logo

Difficulty Level
Intermediate
Completion Time
10h24m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 10h24m total length

1. Social Media and Social Media Analytics in a Nutshell
2. Harness the Social Data - Connecting, Capturing and Cleaning
3. Uncovering Brand activity, emotions and popularity on Facebook
4. Analysing Twitter using sentiment analysis and entity recognition
5. Campaigns and consumer reaction analytics on Youtube (structured and unstructured)
6. What will be the next great technology ? Trends mining on Github
7. Scraping and extracting conversational Topics on Internet Forums
8. Demystifying Pinterest through Network Analysis of user’s interests
9. Social Data Analytics at Scale (Spark, Amazon Web services)

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