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@@ -40,13 +40,13 @@ The workflow is simple: you submit data for analysis and handle outputs in your
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2.[Create a request](how-tos/text-analytics-how-to-call-api.md#json-schema) in JSON that contains your data as raw unstructured text.
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3. Post the request to the endpoint established during sign-up, appending the desired API: sentiment analysis, key phrase extraction, language detection, or entity identification.
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3. Post the request to the endpoint established during sign-up, appending the API you want to call: sentiment analysis, key phrase extraction, language detection, or entity identification.
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4. Stream or store the response locally. Depending on the request, results are either a sentiment score, a collection of extracted key phrases, or a language code.
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Output is returned as a single JSON document, with results for each text document you posted, based on ID. You can subsequently analyze, visualize, or categorize the results into actionable insights.
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Output is returned as a single JSON document, with results for each text document you posted, based on ID. You can then analyze, visualize, or categorize the results into actionable insights.
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Operations performed by the Text Analytics service are stateless. Data is not stored in your account.
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Operations done by the Text Analytics service are stateless. Data is not stored in your account.
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<aname="data-limits"></a>
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### Unicode encoding
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The Text Analytics service uses Unicode encoding for text representation and character count calculations. You can submit requests in either UTF-8 or UTF-16, with no measurable differences in the character count. If you use `String.Length` to get the character count, you are using the same method we use to measure data size.
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The Text Analytics service uses Unicode encoding for text representation and character count calculations. You can submit requests in either UTF-8 or UTF-16, with no measurable differences in the character count. If you use `String.Length` to get the character count, you're using the same method we use to measure data size.
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## Next steps
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First, try the [interactive demo](https://azure.microsoft.com/services/cognitive-services/text-analytics/). You can paste a text input (5,000 character maximum) to detect the language (up to 120), calculate a sentiment score, extract key phrases, or identify linked entities. No sign-up is necessary.
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When you are ready to call the Text Analytics service directly:
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When you're ready to call the Text Analytics service directly:
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+[Sign up](how-tos/text-analytics-how-to-signup.md) for an access key and review the steps for [calling the API](how-tos/text-analytics-how-to-call-api.md).
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+[Quickstart](quickstarts/csharp.md) is a walkthrough of the REST API calls written in C#. Learn how to submit text, choose an analysis, and view results with minimal code.
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+[API reference documentation](//go.microsoft.com/fwlink/?LinkID=759346) provides the technical documentation for the APIs. The documentation supports embedded calls so that you can call the API from each documentation page.
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+[API reference documentation](//go.microsoft.com/fwlink/?LinkID=759346) provides the technical documentation for the REST APIs. The documentation supports embedded calls, so you can call the API from each documentation page.
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+[External & Community Content](text-analytics-resource-external-community.md) provides a list of blog posts and videos demonstrating how to use Text Analytics with other tools and technologies.
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