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Artificial Intelligence with Power BI

You're reading from   Artificial Intelligence with Power BI Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801814638
Length 348 pages
Edition 1st Edition
Languages
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Author (1):
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Mary-Jo Diepeveen Mary-Jo Diepeveen
Author Profile Icon Mary-Jo Diepeveen
Mary-Jo Diepeveen
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Table of Contents (18) Chapters Close

Preface 1. Part 1: AI Fundamentals
2. Chapter 1: Introducing AI in Power BI FREE CHAPTER 3. Chapter 2: Exploring Data in Power BI 4. Chapter 3: Data Preparation 5. Part 2: Out-of-the-Box AI Features
6. Chapter 4: Forecasting Time-Series Data 7. Chapter 5: Detecting Anomalies in Your Data Using Power BI 8. Chapter 6: Using Natural Language to Explore Data with the Q&A Visual 9. Chapter 7: Using Cognitive Services 10. Chapter 8: Integrating Natural Language Understanding with Power BI 11. Chapter 9: Integrating an Interactive Question and Answering App into Power BI 12. Chapter 10: Getting Insights from Images with Computer Vision 13. Part 3: Create Your Own Models
14. Chapter 11: Using Automated Machine Learning with Azure and Power BI 15. Chapter 12: Training a Model with Azure Machine Learning 16. Chapter 13: Responsible AI 17. Other Books You May Enjoy

Visualizing insights from text in reports

Once you have enriched your dataset with insights that have been extracted from text, it is time to create the visuals. When you're working with insights from text, such as key phrases and sentiment, you can use many of the standard visuals. Now, let's learn what a Word Cloud is and how it can help visualize insights from text.

Visualizing text with a Word Cloud

A Word Cloud is a visual representation of words and their frequency. In other words, it visualizes words that occur often in our dataset. The more often they occur, the larger the word is represented in the visual.

By visualizing extracted key phrases with a Word Cloud, we can get intuitive insights into the most important terms in a dataset. Let's try it out with the key phrases we extracted from the hotel reviews dataset:

  1. From the Visualizations pane, select the three dots icon to open the extra options menu, as shown in the following screenshot:
  2. ...
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