Mining the Social Web - Twitter [Online Code]

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Manufacturer Description

Number of Videos: 0.5 hours - 13 lessons
Author:Mikhail Klassen
User Level:Beginner
Intrigued in using Twitter data so you can find what's trending, what individuals are speaking about, and what feelings are being revealed in individuals's tweets? This course teaches you how to use a powerful set of tools that will permit you to acquire, evaluate, and summarize Twitter data.You'll learn the significances within Twitter's metadata, explore the data mining methods of frequency analysis and belief, and gain experience utilizing Python as an information mining tool. Learners ought to be familiar with Jupyter Notebooks and have the ability to set up Python packages by themselves utilizing the command line.
  • Learn how to analyze the metadata that accompanies every Tweet
  • Master the capability to link to the Twitter API utilizing Python
  • Acquire reality experience utilizing Python for data mining
  • Understand how to carry out a frequency analysis of various words, users, or hashtags
  • Learn how to determine the emotional tone of Tweets by performing a sentiment analysis
  • Gain experience downloading live Twitter datastreams and evaluating them for trends
After finishing his PhD in astrophysics, Mikhail Klassen transitioned to data science and improved his competence in data mining, data analysis, and maker learning. He's now the Chief Data Scientist for Paladin: Paradigm Knowledge Solutions in Montreal, where he combines data mining and artificial intelligence to provide customized training for the aerospace industry.Mac Minimum System Requirements:
Mac Recommended System Requirements: Processor: Any RAM: Any Difficult Disk: 1GB Video Card: Any Supported OS: