新闻分类原子能力

基于深度学习实现的新闻文本分类基础原子能力。新闻分类即根据所生成的文本信息推荐该文本内容的标签。多标签文本分类属于自然语言处理领域的关键任务，具有广泛的应用价值。比如对于新闻文本打上多个标签后，可以针对新闻文本进行管理；同时也可以进行搜索，通过标签获取该标签的新闻文本。

A basic atomic capability for news text classification implemented via deep learning. News classification refers to recommending appropriate labels for the content of a given text based on its information. Multi-label text classification is a pivotal task in the field of natural language processing (NLP), with broad application value. For example, after assigning multiple labels to news texts, targeted management of these news texts can be carried out; meanwhile, search functions can be implemented to retrieve news texts corresponding to specific labels via the assigned tags.

搜集汇总

背景与挑战

背景概述

该数据集提供基于深度学习的新闻文本多标签分类能力，可自动生成内容标签，适用于新闻管理及标签化搜索等自然语言处理任务。