liuhuanyong/TopicCluster

A simple documentary topic analysis implement based on traditional K-means and LDA which can achieve a not-bad result. 基于Kmeans与Lda模型的多文档主题聚类,输入多篇文档,输出每个主题的关键词与相应文本,可用于主题发现与热点分析等应用,如历时话题建模,评论画像等。

by liuhuanyong Python 71 forks Created Mar 2018 View on GitHub

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