Businesses interact with their customers to better understand them and also to improve their products and services. This interaction can take the form of emails, textual social media posts (e.g. It would be inefficient and cost-prohibitive to have human representatives look through all of these forms of textual communications and then route the communications to the relevant teams to review, take action on and/or respond to customers. One inexpensive method to group such interactions and to assign them to relevant teams is using topic modeling. Topic modeling in the context of Natural Language Processing (NLP) is a type of unsupervised (i.e.