The official PASS Blog is where you’ll find the latest blog posts from PASS community members and the PASS Board. Contributors share their thoughts and discuss a wide variety of topics spanning PASS and the data community.

Azure Cognitive Services

In the first article of this two-part series, we briefly introduce Azure cognitive services Text Analytics API. Using the example of a team health survey, we walked through the steps of:

  • Creating Azure Cognitive services resource,
  • Loading the raw data into Power BI,
  • Creating and Invoking Custom Functions in Power BI, to extract key phrases and generate sentiment scores from raw text,
  • Saving the Key phrases and sentiment scores as new columns to the data table loaded in Power BI.

At the end of the first article, your Power BI Desktop Data Pane should have a table with 6 fields. The fields “Period”,” Manager”,” Team” and “Response” are from the raw data file. The fields “KeyPhrases” and “SentimentScore” are added and populated by the steps in we took in the first article.

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Azure Cognitive Services via Power BI

Text Mining and Sentiment Analysis can provide interesting insights, when used to analyze free form text like social media posts, customer reviews, feedback comments and survey responses. Key phrases extracted from the text are useful to identify trends and popular topic/themes. Sentiment scores provide a way to perform quantitative analysis on this text data. Combining these techniques, using visually engaging dashboards will help unlock the value of your text data.

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