Topic models can produce clusters of words that characterize written documents. But how do we figure out what those clusters mean, exactly?

In topic modeling, algorithms analyze the speech-to-text conversation data, find related words, and extract themes from the word clusters. These statistical models determine the connections between ...

Commentary Natural Language Processing and Survey Data: LDA and the Importance of Topic Modeling Looking to gain greater insights into surveys? This third part of a series on NLP and survey data ...

After re-running the models and repeating this process several times, our anchor lists had grown substantially, and our topics were looking much more interpretable and coherent: Our application of ...

Collection and especially analysis of open-ended survey responses are relatively rare in the discipline and when conducted are almost exclusively done through human coding. We present an alternative, ...