nicolay-r/AREnets
Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation
This tool helps you classify the relationships or attitudes between specific subjects and objects within text samples. You provide text documents and pre-trained word embeddings, and it outputs predictions about how different entities in the text are related or what sentiment is expressed towards them. It's designed for data scientists, NLP researchers, or analysts who need to automate the extraction of specific relationships or sentiment from large volumes of text.
No commits in the last 6 months. Available on PyPI.
Use this if you need to identify and classify the semantic relationships (like 'founder of', 'located in') or sentiment (like 'positive', 'negative') between pairs of entities in text data.
Not ideal if you're looking for a simple keyword extraction tool or don't have experience working with machine learning models for natural language processing.
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Language
Python
License
MIT
Category
Last pushed
May 11, 2025
Commits (30d)
0
Dependencies
2
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