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Text Classification
Text Classification
All about classifier models and how to build your own custom classifier
16 articles in this collection
Written by
Raul Garreta
Getting Started
What is Text Classification?
What it means to classify text data based on content
Written by
Raul Garreta
Updated over a week ago
How are Text Classifiers Trained?
How tags are created and how classifier training works
Written by
Raul Garreta
Updated over a week ago
How to Build a Custom Classifier
How to Build a Custom Classifier
Showing you each step to build and train a machine learning model to classify text with the tags you define
Written by
Raul Garreta
Updated over a week ago
Building a Classifier with Text Data that has already been Tagged
How to upload historical data, or data that has already been classified, to build and train a new classifier
Written by
Raul Garreta
Updated over a week ago
Walkthrough for Building a Custom Classifier (with Sample Data Set)
See this walkthrough to see how custom classifiers work. We will give you a data set and the list of tags to define.
Written by
Raul Garreta
Updated over a week ago
Improving a Custom Classifier
Add More Training Data
How to add more training samples to improve your classifier accuracy.
Written by
Raul Garreta
Updated over a week ago
Understanding Classifier Statistics
Understanding the statistics for Accuracy, F1 Score, Precision and Recall of your custom classifier
Written by
Raul Garreta
Updated over a week ago
Remove Tags That Are Too Small or Too Niche
Only use tags that are 100% needed.
Written by
Raul Garreta
Updated over a week ago
Focus on the Low Performing Tags
When working on a classifier, you should focus on working on improving the tags with the lowest precision and recall.
Written by
Raul Garreta
Updated over a week ago
Find Tagging Mistakes
Tagging mistakes have a profound impact on the accuracy of your classifier. Here we show you how to find these mistakes and fix them.
Written by
Raul Garreta
Updated over a week ago
Review Your Tagging Criteria Consistency
Tagging consistency is critical for training an accurate classifier.
Written by
Raul Garreta
Updated over a week ago
Improving Recall and Precision
What to do when you want to improve these classifier metrics
Written by
Raul Garreta
Updated over a week ago
Using Keywords to Increase Classifier Performance
How to test and fine-tune your custom classifier using keywords and tags
Written by
Raul Garreta
Updated over a week ago
Best Practices
Defining Tags for Classifiers
Best practices and recommendations for defining tags and taxonomies when making a custom classifier
Written by
Raul Garreta
Updated over a week ago
Best Practices for Training Data
Find out how much text data is required to build a classifier, how clean it should be, and why tagging text is necessary for training.
Written by
Raul Garreta
Updated over a week ago
Classifiers FAQ
Why my classifier is returning no tags or empty results?
Multi-tag classifiers can return 1 tag, 2 tags, or 3 tags, or even no tags at all when it thinks that the text doesn't belong to any tag.
Written by
Raul Garreta
Updated over a week ago