Advanced methods of automated text analysis help making previously manual, time-consuming and error-prone processes more efficient or possible at all. They offer great cost-saving potential and competitive advantages for companies.
NLP, clustering, topic modelling, classification, universal embeddings – the text analytics field is currently extremely active with many different development directions. New methods facilitate completely new use cases which would have been thought impossible just a few years ago.
Using a sample project, the participants get to know important methods and gain practical knowledge of the most important state-of-the-art technologies for automated text analysis.