Renovamen/Text-Classification
PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类
This tool helps you automatically sort text documents, like news articles or product reviews, into predefined categories. You provide a collection of text data, and it outputs labels for each document based on its content. This is useful for data scientists, machine learning engineers, and researchers who need to categorize large volumes of unstructured text.
154 stars. No commits in the last 6 months.
Use this if you need to experiment with and implement various state-of-the-art deep learning models for text classification on your own datasets efficiently.
Not ideal if you are looking for a plug-and-play solution without needing to engage with model configuration or code for training.
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154
Forks
31
Language
Python
License
MIT
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Last pushed
Apr 22, 2021
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