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.
3 actions Integration catalog
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01 · WHAT THE AGENT CAN DO
Actions
Every capability is a discrete, logged action the agent calls by name — scoped to what you authorize and recorded in the run trace.
Address SimilarityROSETTE_TEXT_ANALYTICS_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 LanguageROSETTE_TEXT_ANALYTICS_LANGUAGE_IDENTIFICATION
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 SimilarityROSETTE_TEXT_ANALYTICS_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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