textClassifier and tf-han
About textClassifier
richliao/textClassifier
Text classifier for Hierarchical Attention Networks for Document Classification
This tool helps you automatically sort documents or pieces of text into categories. You provide a collection of text data, and it identifies the core topics or sentiments within each piece, assigning it to a specific label. It's designed for data analysts or researchers who need to categorize large volumes of textual information 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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