sgrvinod/a-PyTorch-Tutorial-to-Text-Classification
Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification
This is a tutorial for deep learning developers who want to build a model that can automatically label text documents with specific categories. You provide the text content, and the model classifies it into predefined categories, also highlighting the most important words and sentences that led to its decision. This is ideal for machine learning engineers and researchers working with natural language processing.
249 stars. No commits in the last 6 months.
Use this if you are a deep learning developer seeking to implement and understand a hierarchical attention network for text classification.
Not ideal if you are a non-developer seeking an off-the-shelf tool for text classification or lack basic knowledge of PyTorch and recurrent neural networks.
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Python
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MIT
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Jun 03, 2020
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