Computational Research of Preaching: Visualising the Viva Vox



Sermon analysis has been one of the fields of practical theology in which empirical methods have been thriving over the decades. Starting with quantitative approaches (simple word frequencies), sermon analysis is nowadays often a mix of various qualitative perspectives. The most recent developments in digital theology, however, add a new and innovative branch to the methodical forest. Computational methods range from more complex word frequencies and word embeddings, to the application of techniques from the field of natural language processing and the development of algoritms for classifying speech.
In the paper I present a proposal for this type of digital theology. Two examples test the possible contribution computational approaches to empirical theology. First, a machine learning algorithm that learns to distinghuish between preaching and prayer. Second, sentiment analysis visualise the mood of preaching.
Originele taal-2English
StatusPublished - 20 jun. 2022
EvenementISERT - International Society for Empirical Research in Theology - Assisi
Duur: 19 jun. 202222 jun. 2022


ConferenceISERT - International Society for Empirical Research in Theology
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