hierarchical-attention-networks and tf-han
Both tools are independent TensorFlow implementations of the same "Hierarchical Attention Networks for Document Classification" paper, making them **competitors** for users seeking a pre-built solution for that specific architecture.
About hierarchical-attention-networks
qtuantruong/hierarchical-attention-networks
TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"
This project helps you automatically categorize text documents like customer reviews or product feedback. You input a collection of text documents, and it outputs classifications, making it easier to sort and analyze large volumes of text. This is designed for data scientists or researchers who need to classify unstructured text efficiently.
About tf-han
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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