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The Rosette Text Analytics Platform uses natural language processing, statistical modeling, and machine learning to
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analyze unstructured and semi-structured text across 364 language-encoding-script combinations, revealing valuable
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information and actionable data. Rosette provides endpoints for extracting entities and relationships, translating and
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comparing the similarity of names, categorizing and adding linguistic tags to text and more.
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Rosette uses natural language processing, statistical modeling, and machine learning to analyze unstructured and semi-structured text across hundreds of language-script combinations, revealing valuable information and actionable data. Rosette provides endpoints for extracting entities and relationships, translating and comparing the similarity of names, categorizing and adding linguistic tags to text and more. Rosette Server is the on-premises installation of Rosette, with access to Rosette's functions as RESTful web service endpoints. This solves cloud security worries and allows customization (models/indexes) as needed for your business.
Copy file name to clipboardExpand all lines: examples/README.md
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Each example file demonstrates one of the capabilities of the Rosette Platform. Each example, when run, prints its output to the console.
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Here are some methods for running the examples. Each example will also accept an optional `--url` parameter for
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Here are some methods for running the examples. Each example will also accept an optional `--url=` parameter for
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overriding the default URL.
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Also, the examples are dual purpose in that they're used to test both source and packagist. The instructions include steps to address this depending on what you are testing.
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