Text Mining & Social Network Analysis

Predictive Analytics    |    Intermediate
  • 11 videos | 48m 7s
  • Includes Assessment
  • Earns a Badge
Rating 4.6 of 21 users Rating 4.6 of 21 users (21)
Text mining facilitates social network analysis, giving analysts the ability to capture people's sentiments about various topics. Examine how text mining and social network analysis can greatly impact many diverse areas.

WHAT YOU WILL LEARN

  • 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
    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

IN THIS COURSE

  • 6m 1s
    In this video, find out how to identify key characteristics of text mining. FREE ACCESS
  • 5m 20s
    In this video, learn how to assign predictor variables within document for text mining. FREE ACCESS
  • Locked
    3.  Text Normalization
    4m 13s
    Upon completion of this video, you will be able to recognize key methods for text normalization. FREE ACCESS
  • Locked
    4.  Assigning Across Document Predictor Variables
    3m 16s
    In this video, learn how to assign predictor variables for text mining across documents. FREE ACCESS
  • Locked
    5.  Term Frequency and Inverse Document Frequency
    4m 13s
    Upon completion of this video, you will be able to recognize the use of term frequency and inverse document frequency measures for text mining. FREE ACCESS
  • Locked
    6.  Sentiment Analysis
    3m 32s
    During this video, you will learn how to identify key characteristics of sentiment analysis. FREE ACCESS
  • Locked
    7.  Text Mining Applications
    3m 23s
    In this video, you will learn how to identify examples of text mining applications. FREE ACCESS
  • Locked
    8.  Overview of Social Network Analysis
    5m 49s
    Learn how to identify key characteristics of social networks. FREE ACCESS
  • Locked
    9.  Ego-centric and Network-centric Analysis
    4m 9s
    Learn how to distinguish between ego-centric and network-centric analysis. FREE ACCESS
  • Locked
    10.  Social Network Mapping
    3m 39s
    In this video, you will learn how to identify key features of social network mapping. FREE ACCESS
  • Locked
    11.  Key Terms and Concepts
    4m 32s
    Upon completion of this video, you will be able to recognize key terms and concepts used in social network and media analysis. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

Course CISM 2022: Social Engineering & Malware
Rating 4.5 of 12 users Rating 4.5 of 12 users (12)
Course Leveraging Analytical and Critical Thinking to Implement AI
Rating 4.7 of 10 users Rating 4.7 of 10 users (10)
Course Decision Analysis and Management: Technical Monitoring
Rating 3.0 of 1 users Rating 3.0 of 1 users (1)

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

Book Introducing Microsoft Quantum Computing for Developers: Using the Quantum Development Kit and Q#, 1st Edition
Course Opening & Connecting Data Sources in Tableau Desktop
Rating 4.4 of 287 users Rating 4.4 of 287 users (287)
Course Selenium Deep Dive: Working with Selenium IDE
Rating 4.5 of 305 users Rating 4.5 of 305 users (305)