Open AccessDetecting Similarities in Posts Using Vector Space and Matrix
Author(s) -
Al Fataa Waliyyul Haq
Publication year - 2020
Publication title -
international journal of global operations research
Language(s) - English
Resource type - Journals
eISSN - 2723-1747
pISSN - 2722-1016
DOI - 10.47194/ijgor.v1i3.44
Subject(s) - vector space , vector space model , algebra over a field , matrix (chemical analysis) , space (punctuation) , similarity (geometry) , linear algebra , vector (molecular biology) , algebraic number , pure mathematics , matrix similarity , mathematics , computer science , artificial intelligence , mathematical analysis , geometry , biochemistry , chemistry , materials science , image (mathematics) , partial differential equation , composite material , gene , recombinant dna , operating system
This study discusses the application of two linear algebraic materials, namely vector and matrix spaces. The application of the two materials is related to an article, the writing can be in the form of an article, book, and so on. The writings examined in this study use example sentences made by the author. Two materials of linear algebra, namely the vector space and the matrix are used to analyze whether there is a similarity between the writing made with other writing. As a result, vector space and matrix can be used to detect similarities in a text.