shengc/tf-han
TensorFlow Implementation For [Hierarchical Attention Networks for Document Classification](http://www.cs.cmu.edu/~./hovy/papers/16HLT-hierarchical-attention-networks.pdf)
This helps classify documents like news articles or customer feedback into predefined categories by understanding their structure. You input a collection of text documents, and it outputs labels for each document. This is useful for data analysts, content managers, or researchers who need to automatically organize large volumes of text.
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Use this if you need to automatically categorize documents and want a system that pays attention to both words and sentences within each document.
Not ideal if you require extremely high classification accuracy out-of-the-box without further tuning, or if your dataset is very small.
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Apr 08, 2018
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