lda

问题 I use scikit-learn LDA to generate LDA model and after that I can get the topic-terms. I am wondering how can I get the probability of each topic for each document? 回答1: Use the transform method of the LatentDirichletAllocation class after fitting the model. It will return the document topic distribution. If you work with the example given in the documentation for scikit-learn's Latent Dirichlet Allocation, the document topic distribution can be accessed by appending the following line to the

来源： https://stackoverflow.com/questions/32313062/what-is-the-best-way-to-obtain-the-optimal-number-of-topics-for-a-lda-model-usin

来源： https://stackoverflow.com/questions/32313062/what-is-the-best-way-to-obtain-the-optimal-number-of-topics-for-a-lda-model-usin

来源： https://stackoverflow.com/questions/32313062/what-is-the-best-way-to-obtain-the-optimal-number-of-topics-for-a-lda-model-usin

来源： https://stackoverflow.com/questions/41819761/pyldavis-visualization-of-pyspark-generated-lda-model

来源： https://stackoverflow.com/questions/41819761/pyldavis-visualization-of-pyspark-generated-lda-model

来源： https://stackoverflow.com/questions/41819761/pyldavis-visualization-of-pyspark-generated-lda-model

来源： https://stackoverflow.com/questions/56363181/saved-gensim-ldamallet-model-not-working-in-different-console

来源： https://stackoverflow.com/questions/47998685/pyldavis-validation-error-on-trying-to-visualize-topics

来源： https://stackoverflow.com/questions/47998685/pyldavis-validation-error-on-trying-to-visualize-topics