Skip to main navigation Skip to search Skip to main content

Towards Empowering Business Process Redesign with Sentiment Analysis

  • IT & Business Informatics (CAMPUS 02 University of Applied Sciences)

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Softic, SelverLüftenegger, Egon In this paper, we propose a novel approach of empowering the Business Process Redesign (BPR) by using sentiment analysis on comments collected during the redesign phase of business processes. For this purpose, we trained and tested our Sentiment Analysis Module (SAM) to prioritize and classify the stakeholder comments as a part of software tool for BPMN based modeling and annotation tool. The preliminary result with evaluation test cases seem to be promising regarding effective ranking and classifying the improvement proposals on BPMN design. However, the findings are also leaving space for improvements in training data segment and in extending the tool with social BPMN functionality.
Original languageEnglish
Title of host publicationProceedings of Sixth International Congress on Information and Communication Technology
EditorsXin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Place of PublicationSingapore
PublisherSpringer Singapore
Pages119-126
Number of pages8
ISBN (Print)978-981-16-2380-6
Publication statusPublished - 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

ASJC Scopus subject areas

  • Information Systems

Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)

  • 502050 Business informatics

Applied Research Level (ARL)

  • ARL Level 3 - Proof of the functionality of a principle

Research focus/foci

  • Industrial Informatics

Fingerprint

Dive into the research topics of 'Towards Empowering Business Process Redesign with Sentiment Analysis'. Together they form a unique fingerprint.

Cite this