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Jeroen W. Pluimers on .NET, C#, Delphi, databases, and personal interests

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maartensukel/example-textual-classification-citizen-reports: Example of a simple textual classification using TF-IDF and LR.

Posted by jpluimers on 2024/06/04

Cool technology:

[Wayback/Archive] maartensukel/example-textual-classification-citizen-reports: Example of a simple textual classification using TF-IDF and LR.

The classification is done by using a TF-IDF (Term Freuqency – Inversed document frequency) as representation for the text and a logistic regression to classify the text. Optimal hyperparameters for the dataset are found using a gridsearch.

Author: [Wayback/Archive] Maarten Sukel (@MaartenSukel) / Twitter

The source is based on Python Pandas and sci-kit learn (also known as sklearn).

It is in use by the City of Amsterdam, but likely fits a lot more use cases.

Via:

–jeroen

This entry was posted on 2024/06/04 at 12:00 and is filed under Development, Pandas, Python, Scripting, Software Development. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.

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