leftthomas/CCCapsNet
A PyTorch implementation of Compositional Coding Capsule Network based on PRL 2022 paper "Compositional Coding Capsule Network with K-Means Routing for Text Classification"
This tool helps users automatically categorize large volumes of text documents into predefined categories, such as assigning news articles to topics like 'sports' or 'finance,' or classifying product reviews as 'positive' or 'negative.' It takes raw text data as input and outputs a classification for each document. This is ideal for data analysts, content managers, or anyone needing to organize and understand large text datasets without manual effort.
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Use this if you need to automatically sort or label a large collection of text documents, like news articles, customer reviews, or forum posts, into specific categories.
Not ideal if you need to extract specific entities or relationships from text, or if you're dealing with very small, specialized datasets where manual labeling is feasible.
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Language
Python
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Last pushed
Jun 02, 2022
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