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Data Mining Methods for the Content Analyst

- An Introduction to the Computational Analysis of Content

About Data Mining Methods for the Content Analyst

This research reference introduces readers to the data mining technologies available for use in content analysis research. Supporting the increasingly popular trend of employing digital analysis methodologies in the humanities, arts, and social sciences, this work provides crucial answers for researchers who are not familiar with data mining approaches and who do not know what they can do, how they work, or how their strengths and weaknesses match up to the strengths and weaknesses of human coded content analysis data. Offering valuable insights and guidance for using automated analytical techniques in content analysis research, this guide will appeal to both novice and experienced researchers throughout the humanities, arts, and social sciences.

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  • Language:
  • English
  • ISBN:
  • 9780415895132
  • Binding:
  • Hardback
  • Pages:
  • 116
  • Published:
  • December 12, 2011
  • Dimensions:
  • 152x229x13 mm.
  • Weight:
  • 380 g.
Delivery: 2-3 weeks
Expected delivery: December 15, 2024

Description of Data Mining Methods for the Content Analyst

This research reference introduces readers to the data mining technologies available for use in content analysis research. Supporting the increasingly popular trend of employing digital analysis methodologies in the humanities, arts, and social sciences, this work provides crucial answers for researchers who are not familiar with data mining approaches and who do not know what they can do, how they work, or how their strengths and weaknesses match up to the strengths and weaknesses of human coded content analysis data. Offering valuable insights and guidance for using automated analytical techniques in content analysis research, this guide will appeal to both novice and experienced researchers throughout the humanities, arts, and social sciences.

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