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bow_tfidf

v0.1.2RubyGems· Ruby

In information retrieval, tf–idf or TFIDF, short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus. It is often used as a weighting factor in searches of information retrieval, text mining, and user modeling. The tf–idf value increases proportionally to the number of times a word appears in the document and is offset by the number of documents in the corpus that contain the word, which helps to adjust for the fact that some words appear more frequently in general.

The verdict
Abandoned. Last published 7 years ago. No recent activity — look for a maintained alternative.
No recent activity — look for a maintained alternative.
Live from the RubyGems registry · derived rules, not AI
How it scores
MaintenanceAbandoned
PopularityNiche
SecurityClean
LicenseUnknown
DepsZero deps
Maintenance
Last published 7 years ago.
Popularity
6 downloads / week
Security
No known advisories for this version (OSV).
License
No license declared.
Dependencies
No runtime dependencies
Recent releases
  • 0.1.27 years ago
  • 0.1.17 years ago
  • 0.1.07 years ago
bow_tfidf — In information retrieval, tf–idf or TFIDF, short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus. It is often used as a weighting factor in searches of information retrieval, text mining, and user modeling. The tf–idf value increases proportionally to the number of times a word appears in the document and is offset by the number of documents in the corpus that contain the word, which helps to adjust for the fact that some words appear more frequently in general. (Ruby / RubyGems) · Modules