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Text Mining Techniques.pdf

20141230112729939.pdf
Preview of Text Mining Techniques
🔗 Source: jetwi.us
📊 Size: 1.9 MB
📄 Pages: 17 pages
⬇️ Downloads: 134

Summary

Text mining is the discovery of new, previously unknown information by automatically extracting information from written resources, differing from web search in its goal to discover unknown information. It is a variation of data mining, drawing on information retrieval, data mining, machine learning, statistics, and computational linguistics, with high commercial potential value as most information is stored as text. Text mining techniques include information extraction, topic tracking, summarization, categorization, clustering, concept linkage, information visualization, and question answering, which can be used to extract insights from large quantities of text data.

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Description

Text mining is the discovery of new, previously unknown information by automatically extracting information from written resources, differing from web search...

Technical Information

  • File Format: PDF
  • File Size: 1.9 MB
  • Pages: 17
  • Language: EN
  • Total Downloads: 134
  • Last Updated: 7 days ago

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This PDF document about Text Mining Techniques provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Text Mining Techniques.

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