• Online, Self-Paced
Course Description

Text mining facilitates social network analysis, giving analysts the ability to capture people's sentiments about various topics. Explore how text mining and social network analysis can greatly impact many diverse areas.

Learning Objectives

Text Mining

  • start the course
  • identify key characteristic of text mining
  • assign within document predictor variables for text mining
  • recognize key methods for text normalization
  • assign across document predictor variables for text mining
  • recognize the use of term frequency and inverse document frequency measures for text mining
  • identify key characteristics of sentiment analysis
  • identify examples of text mining applications

Social Network and Media Analytics

  • identify key characteristics of social network analysis
  • distinguish between ego-centric and network-centric analysis
  • identify key features of social network mapping
  • recognize key terms and concepts used in social network and media analysis

Framework Connections

The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.