Business demands for processing unstructured textual data – text mining techniques for companies to implement
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DOI: 10.46656/access.2022.3.2(2)
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References listed on IDEAS
- Gibbert, Michael & Leibold, Marius & Probst, Gilbert, 2002. "Five Styles of Customer Knowledge Management, and How Smart Companies Use Them To Create Value," European Management Journal, Elsevier, vol. 20(5), pages 459-469, October.
- Maurice Roux, 2018. "A Comparative Study of Divisive and Agglomerative Hierarchical Clustering Algorithms," Journal of Classification, Springer;The Classification Society, vol. 35(2), pages 345-366, July.
- Yuanzhu Zhan & Kim Hua Tan & Baofeng Huo, 2019. "Bridging customer knowledge to innovative product development: a data mining approach," International Journal of Production Research, Taylor & Francis Journals, vol. 57(20), pages 6335-6350, October.
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More about this item
Keywords
clustering; unstructured textual data; business intelligence; NLP (Natural Language Processing); text mining; text extraction; text summarization; text categorization; text retrieval;All these keywords.
JEL classification:
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
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