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September 5, 2025ElectronicsOpen Access

Optimising Text Classification in Social Networks via Deep Learning-Based Dimensionality Reduction

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Authors

JDJose A. Diaz-GarciaAMAndrea Morales-GarzónKGKarel Gutiérrez‐Batista

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Overview

This framework improves computational performance and predictive performance in text classification, indicating key benefits for social networks.

Key Points

  • Our deep learning framework significantly enhances the efficiency of text classification tasks.
  • Benchmarking revealed substantial improvements in computational performance on two datasets.
  • The approach successfully compresses high-dimensional text into a low-dimensional space.
  • Findings suggest that this technique retains essential features, improving or maintaining predictive performance.

Cite This Study

Diaz-Garcia et al. (2025) studied this question.

synapsesocial.com/papers/68bb3d5b2b87ece8dc9564c6https://doi.org/10.3390/electronics14173426
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