%0 Journal Article
%T Topic Modeling
%A Hae-Wol Cho
%J Archive of "Osong Public Health and Research Perspectives".
%D 2019
%R 10.24171/j.phrp.2019.10.3.01
%X A topic model is a type of statistical model to determine abstract ¡°topics¡± that occur in a collection of documents. Topic modeling is a frequently used text-mining tool employed in the discovery of hidden semantic structure in a body of text. Intuitively, given that a document is about a particular topic, it would be expected that certain words would appear in the document more or less frequently. A document typically is concerned with multiple topics in different proportions thus, in a document that is 10% about ¡°A¡± and 90% about ¡°B¡±, there would probably be about 9 times more ¡°B¡± words than ¡°A¡± words. The ¡°topics¡± returned by topic modeling techniques are clusters of similar words. A topic model captures this notion in a mathematical framework, which allows the examination of a set of documents, based on the statistics of the words used in each document, what the topics might be, and what each document¡¯s balance of topics is
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590877/