1. Introduction
Thu Jun 03 2021 17:07:44 GMT+0000 (Coordinated Universal Time)
Saved by @randomize_first
In topic modeling with gensim, we followed a structured workflow to build an insightful topic model based on the Latent Dirichlet Allocation (LDA) algorithm. In this post, we will build the topic model using gensim’s native LdaModel and explore multiple strategies to effectively visualize the results using matplotlib plots. I will be using a portion of the 20 Newsgroups dataset since the focus is more on approaches to visualizing the results. Let’s begin by importing the packages and the 20 News Groups dataset.
https://www.machinelearningplus.com/nlp/topic-modeling-visualization-how-to-present-results-lda-models/
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