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Hybrid topic classification approach integrating TF-IDF, BiGRU, and modified builder optimization algorithm (MBOA).

Overview

Authors: Xia Gao1, Ruijun Li2, Arsam Mashhadi3,4
  1. School of Mathematics and Statistics, Jining Normal University, Ulanqab, 012000 Inner Mongolia China
  2. School of Computer Science and Big Data, Jining Normal University, Ulanqab, 012000 Inner Mongolia China
  3. Tehran University, Tehran, Iran
  4. College of Technical Engineering, The Islamic University, Najaf, Iraq
Institutions: Jining Normal University (China); University of Tehran (Iran); Islamic University of Najaf (Iraq)
Journal: Scientific reports, volume 16, issue 1, article 23983
Dates: received 24 November 2025; accepted 19 May 2026; published online 26 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-54422-2 · PMID 42191859 · PMCID PMC13434668 · OpenAlex W7162424886
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: methods / tools (subfield)
Methods: Spectral & time-frequency, Machine learning
Keywords: Topic classification, Bidirectional gated recurrent unit (BiGRU), Modified builder optimization algorithm (MBOA), Term frequency-inverse document frequency (TF-IDF), Preprocessing, Engineering, Mathematics and computing
Topic: Text and Document Classification Technologies (Artificial Intelligence, Computer Science), according to OpenAlex
Funding: esearch on Interdisciplinary Learning Design in Mathematics with AI-Driven Support (2024NGHCZ235)
Citations: not cited yet (Europe PMC); 51 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

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Data

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Data availability statement

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Read it in the paper: doi.org/10.1038/s41598-026-54422-2.

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 7 keywords, 1 funder, 5 references.

Cite

This paper

Gao, X., Li, R., & Mashhadi, A. (2026). Hybrid topic classification approach integrating TF-IDF, BiGRU, and modified builder optimization algorithm (MBOA). Scientific reports, 16(1), 23983. https://doi.org/10.1038/s41598-026-54422-2

BibTeX

@article{gao2026hybrid,
author = {Gao, Xia and Li, Ruijun and Mashhadi, Arsam},
title = {{Hybrid topic classification approach integrating TF-IDF, BiGRU, and modified builder optimization algorithm (MBOA)}},
journal = {Scientific reports},
year = {2026},
month = may,
volume = {16},
number = {1},
pages = {23983},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-54422-2},
url = {https://doi.org/10.1038/s41598-026-54422-2},
pmid = {42191859},
pmcid = {PMC13434668}
}

RIS

TY - JOUR
AU - Gao, Xia
AU - Li, Ruijun
AU - Mashhadi, Arsam
TI - Hybrid topic classification approach integrating TF-IDF, BiGRU, and modified builder optimization algorithm (MBOA)
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/05/26
VL - 16
IS - 1
SP - 23983
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-54422-2
UR - https://doi.org/10.1038/s41598-026-54422-2
LA - en
ER -

CSL-JSON

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