ymym3412/textcnn-conv-deconv-pytorch
text convolution-deconvolution auto-encoder model in PyTorch
This project helps machine learning engineers and researchers in natural language processing (NLP) to experiment with a specific type of auto-encoder for text. It takes raw text data, like a collection of hotel reviews, and learns compact representations of paragraphs, which can then be used for tasks like classifying text. The output includes trained models for paragraph representation or text classification.
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Use this if you are an NLP researcher or engineer looking to implement and experiment with a text convolution-deconvolution auto-encoder for paragraph representation learning or semi-supervised text classification.
Not ideal if you are looking for a ready-to-use, production-grade text analysis tool for end-users, or if you need a fully polished and extensively documented library.
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55
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14
Language
Python
License
Apache-2.0
Last pushed
Mar 01, 2018
Commits (30d)
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