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All Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika
Andzar Tsaqif Laksana
Universitas Padjadjaran
Decision Sciences, Operations Research & Management Education Mathematics

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STUDI PENERAPAN KONSEP VEKTOR DALAM PERMASALAHAN PENYISIPAN KATA-KATA MELALUI PROSES NORMALISASI VECTOR DAN TRANSFORMASI ORTHOGONAL Andzar Tsaqif Laksana; Sisilia Sylviani; Anita Triska
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.493

Abstract

Word embedding is a technique for converting a word into a vector. These are known as word vectors. Despite the fact that word embedding offers multiple powerful approaches, these existing methods can yet be improved. Normalizing word vectors and establishing orthogonal transformation algorithms are two of the method developments. The advancement of this technology has also resulted in improved results in future studies such as word similarity and word translation assignments. With the presence of these method developments, it is possible that the produced methods will be further improved into better word embedding methods in the future
Co-Authors Anita Triska Sisilia Sylviani