adding examples

Author: aahill

articles/cognitive-services/Speech-Service/includes/speech-to-text-container-query-endpoint.md

@@ -31,6 +31,7 @@ to this call using the container [host](https://docs.microsoft.com/dotnet/api/mi
 var config = SpeechConfig.FromHost(
     new Uri("ws://localhost:5000"));
 ```
+
 # [Python](#tab/python)
 
 Change from using this Azure-cloud initialization call:
@@ -47,4 +48,34 @@ speech_config = speechsdk.SpeechConfig(
     host="ws://localhost:5000")
 ```
 
+To call sentiment analysis:
+
+> [!NOTE]
+> You can send requests for either "detailed" or "simple" responses. 
+
+```python
+speech_config.set_service_property(
+    name='speechcontext-PhraseOutput.Detailed.Extensions',
+    value='["Sentiment"]',
+    channel=speechsdk.ServicePropertyChannel.UriQueryParameter
+)
+speech_config.set_service_property(
+    name='speechcontext-phraseDetection.sentimentAnalysis.modelversion',
+    value='latest',
+    channel=speechsdk.ServicePropertyChannel.UriQueryParameter
+)
+```
+
+### Disable Sentiment analysis in the API response
+
+To disable sentiment analysis from appearing in the API response, regardless of other properties specified:
+
+```python
+speech_config.set_service_property(
+    name='speechcontext-phraseDetection.sentimentanalysis.enabled',
+    value='false',
+    channel=speechsdk.ServicePropertyChannel.UriQueryParameter
+)
+```
+
 ***

articles/cognitive-services/Speech-Service/speech-container-howto.md

@@ -254,6 +254,27 @@ This command:
 * Exposes TCP port 5000 and allocates a pseudo-TTY for the container.
 * Automatically removes the container after it exits. The container image is still available on the host computer.
 
+### Call sentiment analysis with the speech container
+
+Starting in v2.2.0 of the speech services container, you can call v3 of the Sentiment Analysis API on the speech-to-text output. To call sentiment analysis, you will need a Text Analytics resource endpoint. For example: 
+* `https://westus2.api.cognitive.microsoft.com/text/analytics/v3.0-preview.1/sentiment`
+* `https://localhost:5000/text/analytics/v3.0-preview.1/sentiment`
+
+If you're accessing a Text analytics endpoint in the cloud, you will need a key. If you're running Text Analytics locally, you may not need to provide this.
+
+The key and endpoint are passed to the Speech container as arguments, as in the following example.
+
+```bash
+docker run -it --rm -p 5000:5000 \
+containerpreview.azurecr.io/microsoft/cognitive-services-speech-to-text:latest \
+Eula=accept \
+Billing={ENDPOINT_URI} \
+ApiKey={API_KEY} \
+CloudAI:SentimentAnalysisSettings:TextAnalyticsHost={TEXT_ANALYTICS_HOST} \
+CloudAI:SentimentAnalysisSettings:SentimentAnalysisApiKey={SENTIMENT_APIKEY}
+```
+
+
 # [Custom Speech-to-text](#tab/cstt)
 
 The *Custom Speech-to-text* container relies on a custom speech model. The custom model has to have been [trained](how-to-custom-speech-train-model.md) using the [custom speech portal](https://speech.microsoft.com/customspeech).