Text Classification

All about classifier models and how to build your own custom classifier

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15 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

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

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