Social Listening

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Est. reading time: 2 minutes
Author: Mia Hatton

Your social listening tool uses plug-and-play AI from Microsoft Azure to measure the sentiment of Tweets mentioning your brand, and alerts you when the sentiment is negative. By default, the tool is set up to analyse the sentiment of Tweets written in English, but several other languages are available. Which languages are supported by the sentiment analysis tool? The sentiment analysis feature of the tool is built on Microsoft Azure’s Text Analytics API, which supports the following languages:

Mia Hatton

Budding data scientist with an entrepreneurial and science communication background.

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Your social listening tool uses plug-and-play AI from Microsoft Azure to measure the sentiment of Tweets mentioning your brand, and alerts you when the sentiment is negative. By default, the tool is set up to analyse the sentiment of Tweets written in English, but several other languages are available.

Which languages are supported by the sentiment analysis tool?

The sentiment analysis feature of the tool is built on Microsoft Azure’s Text Analytics API, which supports the following languages:

  • Chinese - simplified

  • Danish

  • Dutch

  • English

  • Finnish

  • French

  • German

  • Greek

  • Italian

  • Japanese

  • Norwegian

  • Polish

  • Portuguese (Portugal)

  • Russian

  • Spanish

  • Turkish

How do I configure my Social Listening tool to support a language other than English?

  1. Open your SocialListening-checkText Logic App from the Azure Portal.
  2. Open the Logic App Designer.
  3. Click on the Condition action to open it.
  4. Click Detect Sentiment to open the Text Analytics settings.
  5. Click Add New Parameter and select Language.
  6. Choose the two-letter ISO code of your preferred language from the drop down list. If you are not sure which code to use, check the table on the Text Analytics documentation.
  7. Save your logic app and exit.

That’s it - you’re all set up!

What if my preferred language is not supported?

You can manually set up a list of ‘negative words’ that will trigger an alert if your language is not supported by the sentiment analysis tool. Check out this forum post to see how.