2026-10-24T14:52:14Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/5051 2022-03-24T23:16:32Z 1582963302567:1597824273898 user-ucsy

Documents Classification by UsingBi- Dimensional Probability Model Oo, Myat Su This paper proposes to implement Bi-Dimensional Probabilistic Model (BDPM). Thismodel is to find a bi-dimensional representation oftextual documents for the problem of textcategorization. The main idea is to consider theimportance of a word. In this model, terms areseen as disjoint events, and terms and categoriesare related to each other. Terms are measuredwith their presence and expressiveness. Thepresence and expressiveness of a term is definedas the peculiarity of that term. BDPM is documentclassification model which can represent adocument in two dimensional schemes. It can alsobe used for both visualization and classification oftextual documents. To experiment the system,Reuters-21578 newswire dataset is used.Thisbidimensionalmodel has the advantage: no explicitneed for feature selection, to reducedimensionality, since documents are representedby only two dimensions. 2017-12-27 http://hdl.handle.net/20.500.12678/0000005051 https://meral.edu.mm/records/5051