Hironsan/anago
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
This tool helps developers who work with text data to automatically identify and extract specific types of information within sentences. You provide raw text, and it outputs the text with important terms like names, locations, and organizations clearly labeled. This is used by software developers building applications that need to understand or process human language.
1,484 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a Python developer needing to build applications that automatically recognize and categorize specific entities (like names or places) or parts of speech within text, particularly across different languages without extensive feature engineering.
Not ideal if you are an end-user needing a ready-to-use application for text analysis rather than a programming library.
Stars
1,484
Forks
363
Language
Python
License
MIT
Category
Last pushed
Dec 07, 2022
Commits (30d)
0
Dependencies
7
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