textClassifier and Hierarchical-Multi-Label-Text-Classification
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 Hierarchical-Multi-Label-Text-Classification
RandolphVI/Hierarchical-Multi-Label-Text-Classification
The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》
This helps classify documents into multiple categories that are organized in a hierarchy, like an organization chart or a nested folder structure. You provide text documents (e.g., patents, web pages, emails) and a predefined hierarchical list of categories. The tool then assigns the most relevant categories to each document, even across different levels of the hierarchy. It's ideal for information architects, content managers, or librarians who need to organize large collections of documents precisely.
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