Text Classification — Complete Guide
Text Classification — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of ML.NET Tutorial on Toolliyo Academy.
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ML.NET Tutorial · Lesson 37 of 100
Text Classification
Foundations ✓ → Models → NLP & advanced → MLOps
Models · 2 — Classify & regress · ~6 min · Module 4: Classification Models
What is this?
Text classification assigns categories to free text — intents, topics, moderation labels.
Why should you care?
AIPredict search and support both need topic tags from short text.
See it live — copy this example
Use a .NET console or Web API project with Microsoft.ML. Run dotnet run after pasting.
var pipeline = ml.Transforms.Text.FeaturizeText("Features", "Text")
.Append(ml.Transforms.Conversion.MapValueToKey("Label"))
.Append(ml.MulticlassClassification.Trainers.SdcaMaximumEntropy())
.Append(ml.Transforms.Conversion.MapKeyToValue("PredictedLabel"));What happened?
- Start with FeaturizeText.
- Balance classes.
- Ship PredictedLabel string to APIs.
Practice next
- Featurize + SdcaMaximumEntropy.
- Evaluate micro-accuracy.
- Predict 3 samples.
- Merge rare labels.
- Add title+body concat.
Remember
Text → category. Balance labels. Return strings.
AIPredict intent tags
Chat text → Refund/Shipping/Other.
Outcome: Bot routes correctly more often.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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