Rosette Text Analytics
Rosette Text Analytics is a platform that uses natural language processing, statistical modeling, and machine learning to analyze unstructured and semi-structured text across 364 language-encoding-script combinations, revealing valuable information and actionable data.
In development
Cataloged and scoped, not yet available to run in production.
- 3
- actions
Integrations
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Operations this integration can perform.
Address Similarity
Compares two addresses and returns a similarity score. Addresses can be provided as single strings or as structured objects. The tool is optimized for English, Simplified Chinese, and Traditional Chinese addresses.
Identify Language
This tool identifies the natural language of a given text. It takes a string of text as input and returns the detected language along with a confidence score. Optional parameters include specifying a genre (e.g., "social-media"), providing a list of language codes to constrain the identification, and indicating whether to include user-defined languages.
Compare Name Similarity
The 'Name Similarity' tool compares two entity names (Person, Location, or Organization) and returns a similarity score between 0 and 1 to indicate if the names are similar. It is useful for tasks such as record linkage, identity resolution, and data deduplication.
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