Identification of Text Mining Use Cases In Manufacturing Companies
- Manufacturing companies face the challenge of managing vast amounts of unstructured data generated by various sources such as social media, customer feedback, product reviews, and supplier data. Text-mining technology, a branch of data mining and natural language processing, provides a solution to extract valuable insights from unstructured data, enabling manufacturing companies to make informed decisions and improve their processes. Despite the potential benefits of text mining technology, many manufacturing companies struggle to implement use cases due to various reasons. Therefore, the project VoBAKI (IGF-Project No.: 22009 N) aims to enable manufacturing companies to identify and implement text mining use cases in their processes and decision-making processes. The paper presents an analysis of text mining use cases in manufacturing companies using Mayring's content analysis and case study research. The study aims to explore how text mining technology can be effectively used in improving production processes and decision-making in manufacturing companies.
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| Author: | Florian Clemens, Hasan Hüseyin Özdemir, Günther SchuhORCiDGND |
|---|---|
| URL: | https://www.repo.uni-hannover.de/handle/123456789/15361 |
| DOI: | https://doi.org/10.15488/15241 |
| ISSN: | 2701-6277 |
| Parent Title (English): | Proceedings of the Conference on Production Systems and Logistics: CPSL 2023-2 |
| Publisher: | publish-Ing. |
| Place of publication: | Hannover |
| Editor: | David Herberger, Marco Hübner |
| Document Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2023/12/14 |
| Date of first Publication: | 2023/11/15 |
| Release Date: | 2023/12/14 |
| Tag: | rev data mining; manufacturing company; text data; text mining; use case modeling |
| Page Number: | 12 S. |
| Note: | We would especially like to thank the user committee for attending several interviews and providing us with insights and feedback that helped to shape our research. Moreover, we would like to express our gratitude to the Federal Ministry for Economic Affairs and Climate Action for their support of VoBAKI (IGF-Project No.: 22009 N). The project is supported by Federal Ministry for Economic Affairs and Climate Action based on a decision of the German Bundestag. |
| FIR-Number: | SV7736 |
| Name of the conference: | 5th Conference on Production Systems and Logistics (CPSL) 2023-2 |
| place of the conference: | Stellenbosch |
| Date of the conference: | 14.11.2023-17.11.2023 |
| Institute / Department: | FIR e. V. an der RWTH Aachen |
| Informationsmanagement | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
| 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik | |
| Licence (German): |  Creative Commons – CC BY 3.0 DE – Namensnennung 3.0 Deutschland |
