astutic/Acharya

A Data Centric NER annotation tool for your Named Entity Recognition projects

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This tool helps data professionals quickly improve the quality of their text data for Named Entity Recognition (NER) projects. You can upload various text datasets, identify and correct labeling errors, and then export refined datasets for better model training. It's designed for data scientists, machine learning engineers, and NLP specialists who need to ensure high-quality annotated data.

No commits in the last 6 months.

Use this if you are building an NLP model and need to meticulously prepare and debug your text datasets to accurately extract specific entities like names, locations, or dates.

Not ideal if you are looking for a general-purpose text annotation tool that doesn't focus specifically on improving NER model performance through data-centric insights.

Natural Language Processing Data Annotation Machine Learning Engineering Text Data Quality Named Entity Recognition
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 7 / 25

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Last pushed

Apr 10, 2024

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