moving text analytics content

Author: aahill

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

@@ -42,60 +42,3 @@ speech_config = speechsdk.SpeechConfig(
 ```
 
 ---
-
-#### Analyze sentiment on the speech-to-text output 
-
-Starting in v2.2.0 of the speech-to-text container, you can analyze sentiment on the output using the Text Analytics API. 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}
-```
-
-to this call using the container [host](https://docs.microsoft.com/python/api/azure-cognitiveservices-speech/azure.cognitiveservices.speech.speechconfig?view=azure-python):
-
-```python
-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
-)
-```
-
-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

@@ -247,6 +247,27 @@ Billing={ENDPOINT_URI} \
 ApiKey={API_KEY}
 ```
 
+
+#### Analyze sentiment on the speech-to-text output 
+
+Starting in v2.2.0 of the speech-to-text container, you can call the [sentiment analysis v3 API](../text-analytics/how-tos/text-analytics-how-to-sentiment-analysis.md) on the output. To call sentiment analysis, you will need a Text Analytics API 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}
+```
+
 This command:
 
 * Runs a *Speech-to-text* container from the container image.