Visualizing topics

In this recipe, we will visualize the LDA topic model that we created in Chapter 6, Topic Modeling. The visualization will allow us to quickly see words that are most relevant to a topic and the distances between topics.

Important note

Please see Chapter 6, Topic Modeling, for how to create the LDA model that we will visualize here.

Getting ready

We will use the pyLDAvis package to create the visualization. To install it, use the following command:

pip install pyldavis

How to do it…

We will load the model we created in Chapter 6, Topic Modeling and then use the pyLDAvis package to create the topic model visualization. The visualization is created using a web server:

1. Import the necessary packages and functions:

   import gensim
   import pyLDAvis.gensim

2. Load the dictionary, corpus, and LDA model created in Chapter 6, Topic Modeling:

   dictionary = \
   gensim.corpora.Dictionary.load('Chapter06/gensim/id2word.dict')
   corpus = gensim...