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- Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
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Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
Siddhartha Chatterjee, Michal Krystyanczuk
Ebook
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.
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.
- 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)
- Title: Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
- Author: Siddhartha Chatterjee, Michal Krystyanczuk
- Original title: Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
- ISBN: 9781787126756, 9781787126756
- Date of issue: 2017-07-28
- Format: Ebook
- Item ID: e_15n7
- Publisher: Packt Publishing