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Text Classification
Text Classification
All about classifier models and how to build your own custom classifier
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16 articles in this collection
Written by
Federico Pascual,
Raul Garreta,
Colo Ventura
and 1 other
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
Colo Ventura
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
Riley Maguire
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
Federico Pascual
Updated over a week ago
Understanding Classifier Statistics
Understanding the statistics for Accuracy, F1 Score, Precision and Recall of your custom classifier
Written by
Riley Maguire
Updated over a week ago
Remove Tags That Are Too Small or Too Niche
Only use tags that are 100% needed.
Written by
Federico Pascual
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
Federico Pascual
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
Federico Pascual
Updated over a week ago
Review Your Tagging Criteria Consistency
Tagging consistency is critical for training an accurate classifier.
Written by
Federico Pascual
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
Colo Ventura
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
Riley Maguire
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
Riley Maguire
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
Federico Pascual
Updated over a week ago