Detecting Similarities in Posts Using Vector Space and Matrix

https://doi.org/10.47194/ijgor.v1i3.44

Authors

  • Al Fataa Waliyyul Haq Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia
  • Ema Carinia Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia
  • sudradjat supian Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia
  • subiyanto subiyanto Department of Marine Sciences, Faculty of Fishery and Marine Sciences, Universitas Padjadjaran, Indonesia

Abstract

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.

References

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Phothilimthana, Phitchaya Mangpo et al. 2019. “Swizzle Inventor: Data Movement Synthesis for GPU Kernels.†International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS: 65–78.

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Published

2020-08-07

Issue

Vol. 1 No. 3 (2020): International Journal of Global Operations Research (IJGOR), August 2020

Section

Articles
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