This is the first part of using fastText to tag lines of dialogue from sales-call transcripts. fastText is an open-source library for supervised and unsupervised learning of text representations and classifiers, and the thing I like about it is how fast and simple it is to get a model going compared to something like sklearn or spaCy. Here I walk through setting it up, getting the call data into the format it wants, training a supervised model, and a few things that helped the results.