Enhancing latent semantic analysis (LSA) using tagging algorithm in retrieving Malay documents / Afiqah Bazlla Md Soom
Latent Semantic Analysis (LSA) algorithm is a mathematical approach that uses Singular Value Decomposition (SVD) to discover the important association of the relationship between terms and terms, terms and documents and also documents and documents. Furthermore, LSA uses cosine similarity measuremen...
Main Author: | Md Soom, Afiqah Bazlla |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/26905/ http://ir.uitm.edu.my/id/eprint/26905/1/TM_AFIQAH%20BAZLLA%20MD%20SOOM%20CS%2018_5.pdf |
Similar Items
-
Doa search and retrieval using N-Gram / Nur Nabilah Abu Mangshor ... [et al.]
by: Abu Mangshor, Nur Nabilah, et al.
Published: (2017) -
Data depublication using : Hashing algorithm / Naimah Nayan
by: Nayan, Naimah
Published: (2019) -
Optimization algorithm for designing vertical alignments of highways / Zahriani Mastam
by: Mastam, Zahriani
Published: (2006) -
Job recruiting system using sorting Algorithm / Adi Asyraf Ayob
by: Ayob, Adi Asyraf
Published: (2020) -
Ant colony algorithm for text classification in multicore-multithread environment / Ahmad Nazmi Fadzal
by: Fadzal, Ahmad Nazmi
Published: (2017)