DETECT SENTIMENT
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DESCRIPTION
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DETECT SENTIMENT from sentence returns sentiment labels (such as "negative", "neutral" and "positive") based on the highest confidence score found by the service at a sentence and document-level. This feature also returns confidence scores between 0 and 1 for each sentences within it for positive, neutral and negative sentiment.
STEP-BY-STEP SETUP
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0) Sign-up for MICROSOFT AZURE - COGNITIVES SERVICES by following this link:
https://azure.microsoft.com/free/cognitive-services/ 1) Create a LANGUAGE INSTANCE by following this link
https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics 2) In KEYS & ENDPOINT section of the created LANGUAGE INSTANCE, note the KEY, ENDPOINT and enter those in the PLUGIN SETTINGS.
3) Set up a DISPLAY DATA IN GROUP that will contain the JOB RESULTS of the API PROVIDER "MICROSOFT AZURE - DETECT SENTIMENT" in the workflow, set as GET DATA FROM AN EXTERNAL API DATA SOURCE.
Inputs Fields :
- TEXT : The input text to process. Max length is 5,120 character in synchronous mode.
Output Fields: Returns sentiment labels (such as "negative", "neutral" and "positive") based on the highest confidence score found by the service at a sentence and document-level. This feature also returns confidence scores between 0 and 1 for each sentences within it for positive, neutral and negative sentiment.
IMPLEMENTATION EXAMPLE
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Feel free to browse the app editor in the Service URL for an implementation example.
ADDITIONAL INFORMATION
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> Service Limits :
https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/concepts/data-limitsTROUBLESHOOTING
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Any plugin related error will be posted to the the Logs tab, "Server logs" section of your App Editor.
Make sure that "Plugin server side output" and "Plugin server side output" is selected in "Show Advanced".
> Server Logs Details:
https://manual.bubble.io/core-resources/bubbles-interface/logs-tab#server-logsPERFORMANCE CONSIDERATIONS
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QUESTIONS ?
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Contact us at
[email protected] for any additional feature you would require or support question.