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November 9, 20250 citationsOpen Access

Efficient Classification Model Using CTF-IDF and Dimensionality Reduction

An Efficient Classification Model for Cyber Text

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Authors

MHMd Sakhawat HossenMBMd. Zashid Iqbal BorshonABA. S. M. Badrudduza

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Overview

Analysis demonstrates reduced carbon footprint and improved model accuracy with CTF-IDF in text analytics, indicating efficient classification methods.

Key Points

  • Model accuracy improved with classical machine learning techniques using CTF-IDF for data preprocessing.
  • Reduction in time complexity noted with the IRLBA algorithm for dimensionality reduction in text analytics.
  • Traditional methods yield less computationally intensive applications compared to deep learning methodology in terms of carbon footprint.
  • Text analytics reveals the necessity for efficient resource utilization as demand for computational power increases.
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Cite This Study

Hossen et al. (2025) studied this question.

synapsesocial.com/papers/690fdcdaf60c54d04ea380b9https://doi.org/10.48550/arxiv.2511.03107
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