Cynwell/Text-Level-GNN
Text Level Graph Neural Network for Text Classification
This project helps data scientists and machine learning engineers classify documents by building a graph that connects words and documents across an entire dataset. It takes raw text documents as input and outputs classifications for each document, making it useful for organizing large collections of text. Unlike methods that treat each document in isolation, this approach considers how all documents relate to each other.
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Use this if you need to categorize a large collection of text documents and believe that the relationships between words and documents across the entire corpus are important for accurate classification.
Not ideal if you are working with very small datasets or do not have access to substantial GPU resources, as it can be memory-intensive.
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48
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12
Language
Python
License
Apache-2.0
Category
Last pushed
May 02, 2021
Commits (30d)
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