Quantitative quality control from qualitative data: control charts with latent semantic analysis
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DOI: 10.1007/s11135-014-0036-5
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References listed on IDEAS
- Michele Cocco & Arjuna Tuzzi, 2013. "New data collection modes for surveys: a comparative analysis of the influence of survey mode on question-wording effects," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3135-3152, October.
- Michael Scharkow, 2013. "Thematic content analysis using supervised machine learning: An empirical evaluation using German online news," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 761-773, February.
- Jane Fielding & Nigel Fielding & Graham Hughes, 2013. "Opening up open-ended survey data using qualitative software," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3261-3276, October.
- Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
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- Aykroyd, Robert G. & Leiva, Víctor & Ruggeri, Fabrizio, 2019. "Recent developments of control charts, identification of big data sources and future trends of current research," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 221-232.
- Zavala, Araceli & Ramirez-Marquez, Jose Emmanuel, 2019. "Visual analytics for identifying product disruptions and effects via social media," International Journal of Production Economics, Elsevier, vol. 208(C), pages 544-559.
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Keywords
Analysis of text data; Big data; Control charts ; Customer satisfaction; Latent semantic analysis (LSA); Statistical process control (SPC); Text mining;All these keywords.
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