Text Classification

Classify text using the Universal Data Tool

Setup the Dataset
Navigate to udt.dev and click "New File"
Click "New File" on udt.dev
Then select the Text Classification button from the Setup > Data Type page.
You can now configure the interface you'd like for you Text Classification dataset by adding any classifications you'd like to display per sample, as well as configure if multiple classifications are allowed to be selected.
Text Classification Configuration
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Import Data
You can use any of the following methods to import text data. If you're just getting started, you can quickly create a dataset using the COCO Images method!
​Import Text Snippets​
​Import from CSV or JSON​
Label your Data (with friends!)
Go to the Label tab to begin labeling data. See the Collaborative Labeling Guide to label with friends or a team of your labelers.
An example Text Classification interface
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Export and Use
Text Classification can easily be exported and read as a CSV or JSON file.
For example, if you export as a CSV you'll get a table that looks like the following:
path
document
annotation
samples.0
This has made me so happy. I love it.
positive_sentiment
samples.1
I hate this thing. It's so bad.
negative_sentiment

Building and Labeling Datasets - Previous

Image Classification

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Named Entity Recognition

Last modified 2yr ago

path	document	annotation
samples.0	This has made me so happy. I love it.	positive_sentiment
samples.1	I hate this thing. It's so bad.	negative_sentiment