Multi-Label-Text-Classification and classifier-multi-label
About Multi-Label-Text-Classification
RandolphVI/Multi-Label-Text-Classification
About Muti-Label Text Classification Based on Neural Network.
This project helps you automatically categorize text documents or short texts by assigning multiple relevant labels to each. You input a collection of text documents (like news articles, product reviews, or scientific papers) and define a set of possible labels. The output is each text tagged with all applicable labels. This is ideal for analysts, content managers, or researchers who need to organize and analyze large volumes of text data with multiple descriptive categories.
About classifier-multi-label
hellonlp/classifier-multi-label
多标签文本分类，多标签分类，文本分类, multi-label, classifier, text classification, BERT, seq2seq，attention, multi-label-classification
This project helps organize text documents by automatically assigning multiple relevant categories. You provide a piece of text, like a news article or a product description, and it outputs a list of all applicable tags, such as 'entertainment' and 'sports' for a news piece. This tool is ideal for content managers, data analysts, or anyone who needs to categorize large volumes of text efficiently.
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