Journal of Soft Computing Paradigm
IRO Journals
Volume 4 — Issue 4 — December 2022

A Hybrid Mechanism for Auto Text Categorization in Web Documents

https://doi.org/10.36548/jscp.2022.4.006
Manas Kumar Yogi
Asst. Prof. Computer Science and Engineering Department Pragati Engineering College (Autonomous) Surampalem, A.P
Ch Manikanta Kalyan
Asst. Prof. Computer Science and Engineering Department Pragati Engineering College (Autonomous) Surampalem, A.P
Dwarampudi Aiswarya
Asst. Prof. Computer Science and Engineering Department Pragati Engineering College (Autonomous) Surampalem, A.P
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How to Cite

Yogi, Manas Kumar, Ch Manikanta Kalyan, and Dwarampudi Aiswarya. 2023. “A Hybrid Mechanism for Auto Text Categorization in Web Documents”. Journal of Soft Computing Paradigm 4 (4): 272-82. https://doi.org/10.36548/jscp.2022.4.006.
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Keywords

— Embedded
— particle swarm optimization
— dimensionality
— text categorization
Published: 20-01-2023

Abstract

Web personalization has become such a popular paradigm nowadays, that almost all e-commerce websites are including it in their websites. The main objective of web personalization is driven by grouping similar web pages. The text categorization principle becomes a challenge when daily users visit numerous pages. This paper develops a hybrid framework which categorizes the text extracted from a web document, by applying Neighbourhood Preserving Embedding algorithm and then Particle Swarm Optimization algorithm on the extracted text groups, resulting into a group of web documents which contain similar texts. The proposed mechanism relatively has a high performance which improves with time, and as the size of web documents increase, the particle swarm algorithm also evolves in its nature.

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