Optimizing Document Classification: Unleashing the Power of Genetic Algorithms

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 various methods to address this iss...

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Vydáno v:	IEEE access Ročník 11; s. 83136 - 83149
Hlavní autoři:	Mustafa, Ghulam, Rauf, Abid, Al-Shamayleh, Ahmad Sami, Sulaiman, Muhammad, Alrawagfeh, Wagdi, Afzal, Muhammad Tanvir, Akhunzada, Adnan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	association for computing machinery (ACM) bag of word (BOW) Bit error rate Classification Classification algorithms Complexity Document classification (DC) Documents Feature extraction Genetic algorithms machine learning (ML) Metadata Optimization Semantics Support vector machines term frequency (TF) Word2Vector (W2V)
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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