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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.
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Our product is a full text processing pipeline from data preparation to extracting the most relevant information and
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analysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundational
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linguistic analysis for identifying languages and relating words. The result is enriched and normalized text for
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high-speed search and processing without translation.
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Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds the
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structure of associating those entities into events that deliver only the necessary information for near real-time
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decision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.
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The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands search
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beyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction help
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## Endpoint Examples
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These examples are scripts that can be run independently to demonstrate the Rosette API functionality.
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These examples are scripts that can be run independently to demonstrate the Babel Street Analytics API functionality.
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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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Each example file demonstrates one of the capabilities of the Analytics 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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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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A note on prerequisites. Rosette API only supports TLS 1.2 so ensure your toolchain also supports it.
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A note on prerequisites. Analytics API only supports TLS 1.2 so ensure your toolchain also supports it.
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