Cognitive Services Integration0%

Cognitive Services Integration

Beginner12 min read•Updated: Jul 11, 2026
Study MaterialsCheatsheet

AI Insights & Azure Cognitive Services Integration

Modern business data is not restricted to clean numbers. Enterprises capture millions of lines of unstructured data:

  • Customer support ticket transcripts
  • Online product reviews and social media feedback
  • Survey responses and employee comments

Using AI Insights & Azure Cognitive Services inside Power BI, developers can extract sentiment scores, detect languages, and identify key phrases directly during data transformation!


1. The Pre-Trained AI Capabilities in Power BI

Power BI includes pre-built connectors to Azure Cognitive Services requiring zero machine learning coding:

Output
Unstructured Data Processing
|
+---------------------+---------------------+
| |
[Sentiment Analysis] [Key Phrase Extraction]
- Scores text from 0 (Negative) - Extracts core topics & nouns
to 1.0 (Positive) - Example: "slow shipping",
- Example: "Great product, fast "damaged box", "friendly staff"
delivery!" --> Score: 0.94 - Used to populate Word Clouds

2. Running AI Insights in Power Query

  1. 1
    In Power Query Editor, select your query containing text comments (e.g., CustomerFeedback).
  2. 2
    On the Add Column ribbon tab, click AI Insights (or Text Analytics).
  3. 3
    Choose the target transformation:
  • Score sentiment: Evaluates customer satisfaction.
  • Extract key phrases: Extracts prominent subject words.
  • Detect language: Identifies the language code (e.g., en, es, hi).
  1. 1
    Select the source text column (e.g., ReviewComment).
  2. 2
    Click OK. Power BI evaluates the text using Azure AI models and outputs a structured sentiment score column!

3. Visualizing Sentiment & Key Phrases

Once scored:

  • Plot average sentiment score over time to monitor customer happiness trends.
  • Use Word Clouds or Treemaps to display the most frequent key phrases associated with negative sentiment scores ($< 0.30$), immediately highlighting product defects or shipping bottlenecks!

Interactive Quiz

Multiple Choice Questions

Question 1
What numerical range does the Azure Cognitive Services Sentiment Analysis model output in Power BI?
Question 2
Which AI Insights capability automatically identifies the primary topics and recurring issues (such as "broken latch" or "delayed delivery") from raw text comments?
Question 3
Where is the "AI Insights" / "Text Analytics" suite accessed in Power BI?
Question 4
What license capacity is required to run native Power BI AI Insights (Text Analytics) without an external Azure API subscription?
Question 5
How can an analyst combine Sentiment Analysis with Key Phrase Extraction to uncover operational bottlenecks?

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