Clustering scientific documents with topic modelingChyi-Kwei Yau, Alan L. Porter, Nils C. Newman, Arho Suominen2014-05-05articleScientometrics239 citationsclosedNo readable copy stored yet — this record is metadata only.Computational and Text Analysis Methodsscientometrics and bibliometrics researchTopic ModelingAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 239 citations exist upstream.References2007The text mining handbook: advanced approaches in analyzing unstructured data2002Scholarly communication and bibliometrics2006Forecasting emerging technologies: Use of bibliometrics and patent analysis2011topicmodels : An R Package for Fitting Topic ModelsCited by2018Content analysis of e-petitions with topic modeling: How to train and evaluate LDA models?2019Evolution of topics in education research: a systematic review using bibliometric analysis2016Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research2016A topic modeling based bibliometric exploration of hydropower research2015Map of science with topic modeling: Comparison of unsupervised learning and human‐assigned subject classification2016Extending the knowledge base of foresight: The contribution of text mining2016Firms' knowledge profiles: Mapping patent data with unsupervised learning2018A bibliometric analysis of text mining in medical research