首页> 中文会议>第十五届中国自然语言处理青年学者研讨会(YSSNLP2018) >融入概念的高效主题分析框架与关键技术研究

融入概念的高效主题分析框架与关键技术研究

摘要

Similar topics have higher probability values over the relevant words,Thus, a topic is near its similar topics in a probability vector space,Two different probability distributions might have the same label.Unsupervised topic modeling,Supervised topic modeling,Data-independent Hashing,Data-dependent Hashing.Unsupervised hashing,Supervised hashing,Distribution similarity ranking method.Traditional topic labeling, Select manually,Automatical labeling,hard for new emerging topics,time-consuming.

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