New journal paper published
We are happy to announce that our paper entitled “System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data” is now published on IEEE Access. This publication is a result of a great collaboration between our MaD Lab at FAU Erlangen-Nürnberg and Siemens Healthineers.
Congratulations to all authors (An Nguyen, Stefan Förstel, Dr. Thomas Kittler, Andrey Kurzyukov, Leo Schwinn, Dario Zanca, Tobias Hipp, Da jun Sun, Michael Schrapp, Eva Rothgang and Bjoern Eskofier) for their great support!
The paper is published open access: https://ieeexplore.ieee.org/abstract/document/9520354/
The corresponding dataset can be via Zenodo: https://zenodo.org/record/4383145
The corresponding GitHub repo: https://github.com/annguy/customer-sentiment-monitor
#customerservice #decisionsupport #iot #machinelearning #industrialai
#bigdata #enterpriseai #dataanalytics #ai #ml #datascience