Welcome to Power Platform with AI series. During this entire series, we will talk about one of the important components of AI Builder which is – “Text Classification”.
Category Classification with AI Builder:
The first question arises in our mind is What is Text Classification and how does it help to our organization?
Nowadays data is very important for any organization. Everyday Text data is increasing exponentially. If we classify our data using the Text Classification approach, we can improve our services in a better manner.
Power Platform AI builder provides a facility to perform Text Classification and allows us to define the Tags. Based on the Tags, this will detect the appropriate classified tag from our model.
We can Perform different things with the Text Classification.
1. Sentiment Analysis
2. Spam Detection
3. Customer request routing
I have divided this entire session into the following parts.
1. Part 1 : Introduction to Text Classification AI Model and Prerequisites to Build a Model
2. Part 2: Import Raw Data to Common Data Service
3. Part 3: Get Started to Build Text Classification AI Model
4. Part 4: Train and Publish your Text Classification Model and Perform Testing
5. Part 5: Consume Text Classification AI Model to Power Apps
6. Part 6: Perform Sentiment Analysis using Text Classification AI Model
1. Global AI On Tour - 2020
@Ahmedabad
@Glob_AIBootcamp #GlobalAICommunity
Perform Category Classification with your Data
Dhruvin Shah
2. Dhruvin Shah
• I’m working 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.
4. @Glob_AIBootcamp #GlobalAICommunity
What will
be
covered
during
this
topic?Step 5 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
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What is Text
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.
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Text Classification is
something which deals with
NLP (Natural Language
Processing).
We can Perform different
things with the Text
Classification.
• Sentiment Analysis
• Spam Detection
• Customer request routing
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Real-life Use case - 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.
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Important Points To 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.