Visualizing the BERTopic model

I would like to call out a few functions that help to produce nice visual presentations:

• .visualize_topics(): Visualize topics
• .visualize_hierarchy(): Visualize the hierarchy of topics
• .visualize_barchart(): Visualize the words of a topic
• .visualize_heatmap(): Visualize the similarity of topics

Let’s review each in detail.

Visualizing topics

BERTopic can visualize topics in a way very similar to pyLDAvis and LDAvis, as we have learned. To visualize the topics, run the following:

model.visualize_topics()

The Distance Map in Figure 14.7 lets you use the slider at the bottom of the interactive map to select the topic. When you hover over a topic, it shows the size of the topic and its corresponding words:

Figure 14.7 – Intertopic distance map

Visualizing the hierarchy of topics

Because BERTopic uses HDBSCAN, it lets you visualize the hierarchical structure of the topics...