chakki-works/seqeval
A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
This tool helps you evaluate the accuracy of systems that identify and label specific pieces of information within text, like names, places, or parts of speech. It takes in the 'true' labels for your text alongside the labels predicted by your system, and then calculates how well your system performed. Anyone building or comparing natural language processing models, such as NLP researchers or data scientists, would use this to understand their model's effectiveness.
1,177 stars. Used by 36 other packages. No commits in the last 6 months. Available on PyPI.
Use this if you need to precisely measure the performance of your text analysis models on tasks like named entity recognition or part-of-speech tagging.
Not ideal if you are looking for a tool to build or train text labeling models, as this focuses solely on evaluation.
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1,177
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131
Language
Python
License
MIT
Category
Last pushed
Aug 28, 2024
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0
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