EN我正在使用NMF模型进行主题建模。我想通过混淆矩阵来评估它的性能，或者如果有其他更好的方法来评估NMF...
optimization word2vec deepwalk matrix-factorization feature-extraction pca topic-modeling factorization lda unsupervised-learning admm sparse-matrix principal-component-analysis embedding nmf principal-components node2vec unsupervised-machine-learning word-embedding beta-divergence Updated Aug 14, 2022 Python Loa...
ENLDA（Latent Dirichlet Allocation）是一种文档主题生成模型，也称为一个三层贝叶斯概率模型，包含词、主...
get_topic_terms(topicid,topn=10,normalize=None) Get the representation for a single topic. Words the integer IDs, in constrast to int) – The ID of the topic to be returned topn(int,optional) – Number of the most significant words that are associated with the topic. normalize(boolorNone...