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Text mining, clustering, and forecasting horizons ahead in the field of quality and productivity

Shojaee, Mohsen; Imani, Din Mohammad; Jafarian-Namin, Samrad - In: International journal of productivity and quality … 37 (2022) 4, pp. 559-577

Persistent link: https://www.econbiz.de/10014229988

A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes-Oxley Act

Davalos, Sergio; Feroz, Ehsan H. - In: Intelligent systems in accounting, finance & management 29 (2022) 1, pp. 19-40

Persistent link: https://www.econbiz.de/10013274235

Sentiment classification of consumer-generated online reviews using topic modeling

Calheiros, Ana Catarina; Moro, Sérgio; Rita, Paulo - In: Journal of hospitality marketing & management 26 (2017) 7, pp. 675-693

Persistent link: https://www.econbiz.de/10011783996

Advancing reproducibility and accountability of unsupervised machine learning in text mining : importance of transparency in reporting preprocessing and algorithm selection

Valtonen, L.; Mäkinen, Saku J.; Kirjavainen, Johanna - In: Organizational research methods : ORM 27 (2024) 1, pp. 88-113

Persistent link: https://www.econbiz.de/10014581624

Unemployment news type in Malaysia by topic modelling and cluster analysis approach

Faiza Rusrianti Tajul Arus - In: Journal of the Department of Statistics, Malaysia 1 (2020), pp. 1-16

Persistent link: https://www.econbiz.de/10014247152

Q3-D3-LSA

Borke, Lukas; Härdle, Wolfgang - 2016

. Three text mining models will be examined: vector space model (VSM), generalized VSM (GVSM) and latent semantic analysis … similarity-based document clustering and knowledge discovery. In particular, different LSA configurations together with … hierarchical clustering reveal good results under M3 evaluation. QuantNet and the corresponding Data-Driven Documents (D3) based …

Persistent link: https://www.econbiz.de/10011572047