Exploration of text mining methodology through investigation of QMOD-ICQSS proceedings
2014 (English)Conference paper (Refereed)
The purpose of the study is to explore if and how text mining methodology can be applied to investigate and analyze large amounts of academic papers. Methodology / Approach The study uses probabilistic topic modeling as method to perform exploratory data analysis on QMOD-ICQSS proceedings.
The findings give reason for further exploration of text mining and probabilistic topic modeling as a relevant method to extract information from large amounts of academic papers. The generated topic models serve as a foundation for other researchers to conduct more detailed analysis of the QMOD-ICQSS proceedings depending on the specific area of interest. Research Limitations The study was limited to the use of one software and modeling technique, a multi-track approach would have strengthened the results.
There seems not to exist any other text mining study that has been conducted on conferenced proceedings in general nor on QMOD-ICQSS proceedings specifically. Keywords Text Mining, Probabilistic Topic Modeling, Quality Movement, Total Quality Management, QMOD-ICQSS
Place, publisher, year, edition, pages
Text Mining, Probabilistic Topic Modeling, Quality Movement, Total Quality Management, QMOD-ICQSS
Reliability and Maintenance
IdentifiersURN: urn:nbn:se:miun:diva-24316OAI: oai:DiVA.org:miun-24316DiVA: diva2:786251
QMOD-ICQSS Prague, Czech Republic, 2014 (Sep. 3-5)