Python library for interactive topic model visualization
pyLDAvis is designed to help users interpret the topics in a topic model that has been fit to a corpus of text data. The package extracts information from a fitted LDA topic model to inform an interactive web-based visualization.
The visualization is intended to be used within an IPython notebook but can also be saved to a stand-alone HTML file for easy sharing.
