Optimizing Document Classification: Unleashing the Power of Genetic Algorithms

Optimizing Document Classification: Unleashing the Power of Genetic Algorithms

<p dir="ltr">Many individuals, including researchers, professors, and students, encounter difficulties when searching for scholarly documents, papers, and journals within a specific domain. Consequently, scholars have begun to focus on document classification problem, offering variou...

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Bibliographic Details
Main Author: Ghulam Mustafa (458105) (author)
Other Authors: Abid Rauf (17541708) (author), Ahmad Sami Al-Shamayleh (17541495) (author), Muhammad Sulaiman (9106025) (author), Wagdi Alrawagfeh (17271664) (author), Muhammad Tanvir Afzal (4162504) (author), Adnan Akhunzada (3134064) (author)
Published: 2023
Subjects:
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Materials engineering
Metadata
Feature extraction
Bit error rate
Support vector machines
Genetic algorithms
Classification algorithms
Semantics
Document classification (DC)
Word2Vector (W2V)
bag of word (BOW)
term frequency (TF)
association for computing machinery (ACM)
machine learning (ML)
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