kajyuuen/funer
Funer is Rule based Named Entity Recognition tool.
Automatically identify and extract specific entities like names, locations, or dates from text documents using predefined rules. You provide raw or pre-labeled text, define simple rules (like dictionaries or patterns), and the tool extracts and labels the relevant information. This is useful for data analysts, researchers, or anyone who needs to quickly find and categorize specific text patterns in large amounts of unstructured text data.
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Use this if you need to extract named entities from text based on clear, definable rules and want to iteratively refine those rules and label your data.
Not ideal if your entity extraction needs rely heavily on complex, nuanced understanding of language or require deep learning models without human-interpretable rules.
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Language
Python
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Last pushed
Apr 21, 2022
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