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Perform Category Classification using AI Builder
Dhruvin Shah, a power platform specialist and active blogger, discusses the importance of text classification AI models for managing increasing text data in organizations. He outlines steps to build and implement these models, emphasizing their applications in sentiment analysis and feedback categorization, specifically in healthcare. Key requirements for effective text classification include data storage in common data services and proper tagging of data.
Perform Category Classification using AI Builder
- 1. Global AI OnTour - 2020 @Ahmedabad @Glob_AIBootcamp #GlobalAICommunity Perform Category Classification with your Data Dhruvin Shah
- 2. Dhruvin Shah • I’mworking as Power Platform Specialist (P Factor – Power BI, Power Apps, Power Automate and Power Virtual Agents) and Sr. Office 365 Developer in one of the reputed company –“Binary Republik”. • Very Active Blogger and YouTuber having 100+ Articles and 300+ Tech Videos. • I’m Three(3) Times C# Corner MVP.
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- 4. @Glob_AIBootcamp #GlobalAICommunity What will be covered during this topic?Step5 Consume Text Classification AI Model to Power Apps Step 4 Train and Publish your Text Classification Model and Perform Testing Step 3 Get Started to Build Text Classification AI Model Step 2 Import Raw Data to Common Data Service Step 1 Introduction to Text Classification AI Model and Prerequisites to Build a Model
- 5. @Glob_AIBootcamp #GlobalAICommunity What isText Classification AI Model? For any organizations, the volume of the Text data increasing day by day. The data can be in any form – Emails, Social Media, Documents, Feedbacks, Portals etc. The data carries a useful information for the business. Based on the feedback, we can improve our service. So, the proper classification of the data is very important.
- 6. @Glob_AIBootcamp #GlobalAICommunity Text Classificationis something which deals with NLP (Natural Language Processing). We can Perform different things with the Text Classification. • Sentiment Analysis • Spam Detection • Customer request routing
- 7. @Glob_AIBootcamp #GlobalAICommunity Example –HealthCare feedback
- 8. @Glob_AIBootcamp #GlobalAICommunity Real-life Usecase - Health Care Feedback • Let’s take an example of one of the popular Hospital’s feedback system. Everyday lots of patients provide their feedback. • It’s difficult to identify and classify the feedback form thousands of the feedbacks and difficult to categorize them. • So, text classification make this work easier for us. • We need to label some tags with each feedback and train our AI model. • Once our model is trained, it will detect the sentiment or classify the text from the user feedback automatically.
- 9. @Glob_AIBootcamp #GlobalAICommunity Important PointsTo Remember for Text Classification Data Must be reside in the Common Data Services Your Administrator has assigned you a Security Role with Privileges over your data. Languages Supported: English, French, German, Dutch, Italian, Spanish, and Portuguese Text and Tags should be in the same entity. Tags: Should be separated with delimiter. Tags with less than 50 text items are ignored. Text must be fewer than 5000 characters.
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- 11. @Glob_AIBootcamp #GlobalAICommunity Build CDSModel for Text Analytics AI Model
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- 13. @Glob_AIBootcamp #GlobalAICommunity Train andPublish Text Analytics AI Model
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- 15. @Glob_AIBootcamp #GlobalAICommunity Build PowerApps to Perform Text Analytics Data
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- 17. @Glob_AIBootcamp #GlobalAICommunity Follow on allsocial Media Whatsapp +91 9537981467 Twitter @Dhruvinshah16 Facebook https://www.facebook.com/learn2All/ YouTube https://www.youtube.com/user/dhruvin953798 Blogger https://tinyurl.com/w94pcxs LinkedIN https://tinyurl.com/uak32tg
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