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rosette_api

v1.37.0RubyGems· Ruby

Our product is a full text processing pipeline from data preparation to extracting the most relevant information andanalysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundationallinguistic analysis for identifying languages and relating words. The result is enriched and normalized text forhigh-speed search and processing without translation.Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds thestructure of associating those entities into events that deliver only the necessary information for near real-timedecision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands searchbeyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction helpfilter results to what’s relevant.

The verdict
Maintained. Niche but maintained, actively maintained.
Live from the RubyGems registry · derived rules, not AI
How it scores
MaintenanceHealthy
PopularityNiche
SecurityClean
LicensePermissive
DepsZero deps
Maintenance
Last published this month.
Popularity
46 downloads / week
Security
No known advisories for this version (OSV).
License
Apache-2.0
Dependencies
No runtime dependencies
Recent releases
  • 1.37.0this month
  • 1.27.12 years ago
  • 1.14.45 years ago
  • 1.14.36 years ago
  • 1.12.17 years ago
  • 1.9.28 years ago
  • 1.9.08 years ago
  • 1.8.08 years ago
rosette_api — Our product is a full text processing pipeline from data preparation to extracting the most relevant information andanalysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundationallinguistic analysis for identifying languages and relating words. The result is enriched and normalized text forhigh-speed search and processing without translation.Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds thestructure of associating those entities into events that deliver only the necessary information for near real-timedecision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands searchbeyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction helpfilter results to what’s relevant. (Ruby / RubyGems) · Modules