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.
We will show how to process large amounts of text automatically.
The text analytics field is growing with very sophisticated algorithms being available. Participants will learn how to use basic and advanced text processing and estimate which methods are best suited for their requirements.
Basic knowledge in Python and machine learning are helpful. The training will be self contained and all necessary methods will be introduced.