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Text mining
works at the document level
– making semantic determinations about the overall
content of documents relative to other documents. This differs from text analysis, which does
linguistic analysis and extracts information embedded
within
each document.
Functions based on vector space model
Identify similar documents
Identify key terms of a document
Identify related terms
Categorize new documents based on a training corpus
Scenarios
Highlight the key terms when viewing a patent document
Identify similar incidents for faster problem solving
Categorize new scientific papers along a hierarchy of topics
Text Mining