Visualizing an LDA model, using Python

Question

I have a LDA model with the 10 most common topics in 10K documents. Now it's just an overview of the words with corresponding probability distribution for each topic.

I was wondering if there is something available for python to visualize these topics?

Answer 1

pyLDAvis looks reasonably good.

There's also Termite developed by Jason Chuang of Stanford.

Answer 2

There some visulizations you can choise.

In the topic of Visualizing topic models, the visualization could be implemented with,

• D3 and Django(Python Web), e.g. Circle Packing, or Site Tag Explorer, etc
• Network X

In this topic Visualizing Topic Models, the visualization could be implemented with

• Matplotlib
• Bokeh
• etc.

Answer 3

PyLDAVis - Visualization tool for LDA Models

Useful article for learning Topic Modelling using different models in Python

Answer 4

Word clouds are popular ways of visualizing topic distributions. To generate a word cloud in python consider cloning the wordcloud library.

Answer 5

Depending upon the use case, you may chose some of these Visualizations as well.

1)Stacked Bar Chart

2)Heatmap

3)Table (https://de.dariah.eu/tatom/topic_model_visualization.html)

4)Histogram

5)Violin Plot (https://www.analyticsvidhya.com/blog/2015/05/data-visualization-python/)

Most of these visualizations are possible thorough Matplotlib library in Python.