对汽车之家论坛里的评论数据处理和分析,利用用户潜在行为数据得出用户行为特征,采用LDA主题模型得出用户评论的主题特征,采用Word2Vec词向量模型得出用户评论的文本内容特征,采用K-Means聚类得出水军文本类别,结合用户行为特征,最终实现了对网络水军的识别。
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Updated
Feb 21, 2020 - Java
对汽车之家论坛里的评论数据处理和分析,利用用户潜在行为数据得出用户行为特征,采用LDA主题模型得出用户评论的主题特征,采用Word2Vec词向量模型得出用户评论的文本内容特征,采用K-Means聚类得出水军文本类别,结合用户行为特征,最终实现了对网络水军的识别。
A consolidated collection of topic model implementations
Extracting Hidden Topics from Texts using LDA Model
Collection of NLP utility code
A Java Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference
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