Build apps that classify and understand text.
What it does
Guides users in building text-processing applications with trained models, evaluation results, and visualizations.
When to use it
Use when building text classifiers, extracting entities, implementing language applications, analyzing text, or fine-tuning transformer models.
How to use it
Give it a text-processing application to build; it produces model code, analysis results, visualizations, and an inference API.
Uses
NL
Good to know
- works out of sight
Latest review
What you need · 8
The implementation is written in Python; no version is specified.
The implementation imports numpy and uses it for numerical summaries.
The implementation imports pandas for tabular results.
Access · 1
This skill
punkt
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Downloads NLTK tokenizer data