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Text Mining Innovation for Business

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New Trends in Business Information Systems and Technology

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 294))

Abstract

This chapter reflects on the business innovation supported by developing text mining solutions to meet the business needs communicated by Swiss companies. Two related projects from different industries and with different challenges are discussed in order to identify common procedures and methodologies that can be used. One of the partners, in the gig work sector, offers a platform solution for employee recruitment for temporary work. The work assessment is performed using short reviews for which a method for sentiment assessment based on machine learning has been developed. The other partner, in the financial advice sector, operates an information extraction service for business documents, including insurance policies. This requires automation in the extraction of structured information from pdf-files. The common path to innovation in such projects includes business process modeling and the implementation of novel technological solutions, including text mining techniques.

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Acknowledgements

Funding was provided by the Swiss Commission for Technology and Innovation CTI (now Innosuisse): 25826.1 PFES-ES and 34604.1 IP-ICT, and by the FHNW.

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Authors and Affiliations

  1. Institute for Information Systems, School of Business, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Riggenbachstrasse 16, 4600, Olten, Switzerland

    Ela Pustulka & Thomas Hanne

Authors
  1. Ela Pustulka
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  2. Thomas Hanne
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Corresponding author

Correspondence to Ela Pustulka .

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Editors and Affiliations

  1. School of Business, Institute for Information Systems, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Basel, Switzerland

    Rolf Dornberger

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Pustulka, E., Hanne, T. (2021). Text Mining Innovation for Business. In: Dornberger, R. (eds) New Trends in Business Information Systems and Technology. Studies in Systems, Decision and Control, vol 294. Springer, Cham. https://doi.org/10.1007/978-3-030-48332-6_4

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