智能打标能力

多标签文本分类是自然语言处理算法模型中应用最广泛的模型之一，其核心作用是给用户文本自动打上标签，从而进行后续的管理，另一个核心应用为搜索，可以搜索某个标签下的内容。投诉工单办结原因文本多分类原子能力，投诉场景下的工单办结原因打标多分类推荐，可帮助业务方从多级打标场景下得到大数量级

Multi-label Text Classification is one of the most widely adopted models in the field of Natural Language Processing (NLP) algorithm applications. Its core function is to automatically assign labels to user-provided texts to facilitate subsequent management operations. Another key application is search, which enables users to retrieve content under a specific label. The atomic multi-classification capability for complaint work order completion reason texts, namely the multi-classification recommendation for work order completion reason labeling in complaint scenarios, can help business parties obtain large-scale from multi-level labeling scenarios.