A Hybrid Method for Manufacturing Text Mining Based on Document Clustering and Topic Modeling Techniques
- DOI
- 10.1007/978-3-319-51133-7_91
- Published
- 2016
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-319-51133-7_91,
title = {A Hybrid Method for Manufacturing Text Mining Based on Document Clustering and Topic Modeling Techniques},
author = {Peyman Yazdizadeh Shotorbani and Farhad Ameri and Boonserm Kulvatunyou and Nenad Ivezic},
year = {2016},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-319-51133-7_91},
url = {https://doi.org/10.1007/978-3-319-51133-7_91}
}RIS
TY - JOUR TI - A Hybrid Method for Manufacturing Text Mining Based on Document Clustering and Topic Modeling Techniques AU - Peyman Yazdizadeh Shotorbani AU - Farhad Ameri AU - Boonserm Kulvatunyou AU - Nenad Ivezic PY - 2016 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-319-51133-7_91 UR - https://doi.org/10.1007/978-3-319-51133-7_91 ER -
APA
Shotorbani, P. Y., Ameri, F., Kulvatunyou, B., & Ivezic, N. (2016). A Hybrid Method for Manufacturing Text Mining Based on Document Clustering and Topic Modeling Techniques. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-319-51133-7_91
Source records
- crossref · retrieved 2026-11-05T08:54:59.854Z