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Wolfram U

Computation for Social Sciences: Wolfram U Class

via Wolfram U

Overview

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How to explore & model concepts and ideas in social sciences using built-in and external data in Wolfram Language. Examples: analyzing text, mapping boundaries, analyzing online social connections, determining political sentiment from tweets.

Course Overview
Learn how to use built-in and external data to explore or model concepts and ideas using Wolfram Language. This lesson incorporates examples from literature, history, sociology and political science to showcase Wolfram Language as a complete, integrated and highly automated platform for doing social science. Examples include analyzing text from four Sherlock Holmes books, tracking the fall of the Roman Empire, mapping social networks, creating a machine learning classifier to identify author names and determining political sentiment from tweets.
Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)
You'll Learn To


Find the frequency of specific words in texts
Map the expansion of historical empires over time
Create and annotate graphs from social network data


Use simple, built-in machine learning tools
Import data from external web APIs
Visualize trends in data

Syllabus

  • Find the frequency of specific words in texts
  • Map the expansion of historical empires over time
  • Create and annotate graphs from social network data
  • Use simple, built-in machine learning tools
  • Import data from external web APIs
  • Visualize trends in data

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