Description

Code relative to "Artificial Intelligence Trend Analysis on Healthcare Podcasts using Topic Modeling and Sentiment Analysis - A Data-Driven Approach" Philipp Dumbach, Leo Schwinn, Tim Löhr, Phi Long Do, Björn M. Eskofier which is accepted for publication as Research Article by the Journal of Evolutionary Intelligence (https://www.springer.com/journal/12065).

This repository contains the code for the crawlers regarding the 29 healthcare podcasts that were selected as data sources within this research study.

Further Information

For more information regarding the data crawling procedure regarding the podcast data sources and the transcribed data set please contact the corresponding author.

Affiliation

Friedrich-Alexander-Universität Erlangen-Nürnberg

Machine Learning and Data Analytics Lab

Department Artificial Intelligence in Biomedical Engineering

Carl-Thiersch-Str. 2b

91054 Erlangen

Mail (corresponding author): [email protected]