By Marco Bonzanini
- Make feel of hugely unstructured social media information with assistance from the insightful use instances supplied during this guide
- Use this easy-to-follow, step by step advisor to use analytics to complex and messy social data
- This is your one-stop way to fetching, storing, reading, and visualizing social media data
Your social media is full of a wealth of hidden facts – liberate it with the facility of Python. remodel your figuring out of your consumers and clients if you use Python to unravel the issues of figuring out client habit and turning uncooked info into actionable shopper insights.
This ebook may help you got and learn info from top social media websites. it's going to help you hire medical Python instruments to mine well known social web content comparable to fb, Twitter, Quora, and extra. discover the Python libraries used for social media mining, and get the ideas, methods, and insider perception you must utilize them. observe how one can boost info mining instruments that use a social media API, and the way to create your personal information research tasks utilizing Python for transparent perception out of your social data.
What you are going to learn
- Interact with a social media platform through their public API with Python
- Store social information in a handy structure for information analysis
- Slice and cube social facts utilizing Python instruments for facts science
- Apply textual content analytics recommendations to appreciate what everyone is conversing approximately on social media
- Apply complex statistical and analytical suggestions to supply precious insights from data
- Build attractive visualizations with internet applied sciences to discover info and current information products
About the Author
Marco Bonzanini is a knowledge scientist established in London, uk. He holds a PhD in details retrieval from Queen Mary college of London. He makes a speciality of textual content analytics and seek purposes, and through the years, he has loved engaged on numerous info administration and knowledge technological know-how problems.
He continues a private weblog at http://marcobonzanini.com, the place he discusses various technical issues, often round Python, textual content analytics, and information science.
When now not engaged on Python tasks, he loves to have interaction with the neighborhood at PyData meetings and meet-ups, and he additionally enjoys brewing selfmade beer.
Table of Contents
- Social Media, Social info, and Python
- #MiningTwitter – Hashtags, themes, and Time Series
- Users, fans, and groups on Twitter
- Posts, Pages, and person Interactions on Facebook
- Topic research on Google+
- Questions and solutions on Stack Exchange
- Blogs, RSS, Wikipedia, and traditional Language Processing
- Mining all of the Data!
- Linked information and the Semantic Web
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Mastering Social Media Mining with Python by Marco Bonzanini