vietnh1009/Hierarchical-attention-networks-pytorch
Hierarchical Attention Networks for document classification
This project helps classify large volumes of text documents into predefined categories, such as news topics, product review sentiment, or answer types. You provide a dataset of documents along with their correct categories, and the system learns to automatically assign categories to new, unseen documents. This is useful for data analysts, content managers, or anyone needing to sort or filter large collections of text efficiently.
406 stars. No commits in the last 6 months.
Use this if you need to automatically categorize documents into a set of known labels based on their content, like sorting customer feedback or tagging articles.
Not ideal if your documents don't have clear, predefined categories or if you need to extract specific pieces of information from text rather than classify the whole document.
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Oct 23, 2021
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