What to Ask Leina to Do with Rosette Text Analytics
Copy a prompt, add your details, and send it to Leina in your connected team chat.
Read people, organizations, and other entities from text.
Extract entities from content [text], then organize returned entity types and mentions.
Analyze document and entity sentiment.
Analyze sentiment of content [text] and explain the returned document and entity sentiment results.
Get Started with Rosette Text Analytics
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Connect Your Account
Connect using your Rosette Text Analytics Babel Street API Key.
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Try a Task
Tell Leina what you need in your team chat. Include the source, destination, and expected result.
Set Up Leina in Your Chat → -
Check the Result
Review the result and any changes in the connected app.
Supported Rosette Text Analytics Capabilities
Rosette Text Analytics identifies language, entities, categories, tokens, and sentiment in supplied text or a fetchable content URI.
- Extract named entities
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Read people, organizations, and other entities from text.
- Extract Entities
- Review text sentiment
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Analyze document and entity sentiment.
- Analyze Sentiment
View All 5 Actions
- Identify Language
- Extract Entities
- Analyze Sentiment
- Identify Categories
- Identify Tokens
Frequently Asked Questions
Can I provide both text and URI?
Provide exactly one of content or contentUri.
Does this generate a rewritten article?
These actions analyze text; article rewriting is not exposed.
Can I supply a language hint?
Use the language field with an ISO 639 code when needed.
Your AI employee for Rosette Text Analytics
Tell Leina what you need in your team chat. Include the source, destination, and expected result.