Araştırma Makalesi

An Intelligent Research Paper Assistant: Integrated Retrieval, Explainable Domain Classification, and Research-Gap Ranking

Cilt: 6 17 Eylül 2026
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An Intelligent Research Paper Assistant: Integrated Retrieval, Explainable Domain Classification, and Research-Gap Ranking

Öz

Background: The exponential growth of scientific literature creates a practical bottleneck: researchers must manually navigate domain taxonomies, identify research gaps, formulate titles, and bootstrap a methodology before writing begins. Methods: This study presents an end-to-end Intelligent Research Paper Assistant built over 499,999 scholarly abstracts spanning 10 domains and 25 subdomains, integrating six modules: title suggestion, abstract retrieval, methodology generation, dual-branch domain classification, post-hoc explainability, and research-gap ranking. A deterministic six-stage NLP pipeline feeds a TF-IDF encoder (12,000 features); an incremental SGD linear baseline and a fine-tuned DistilBERT transformer (66.96M parameters) are trained in parallel, with SHAP and LIME providing global and local explainability. Results: Domain classification achieves Accuracy = 1.00 (test-set per-domain accuracy 99.78%) for both models. SHAP and LIME correctly recover domain-discriminative vocabulary, and a composite novelty score identifies Social History and Digital Humanities as the most under-researched subdomains. Limitations: Results derive from a generated corpus with probable label co-occurrence inflating domain separability; real deployment requires retraining on verified bibliographic data.

Anahtar Kelimeler

Kaynakça

  1. [1] Ökten M. “Data Analytics in Energy Systems: Applications of Keyword Extraction, Topic Modelling, and Text Classification in Text Mining”, Gazi University Journal of Science Part C: Design and Technology 14(2) (2026) 824-839; doi: 10.29109/gujsc.1904190.
  2. [2] Aydın N, Erdem OA, Tekerek A. “Comparative Analysis of Traditional Machine Learning and Transformer-based Deep Learning Models for Text Classification”, Journal of Polytechnic 28(2) (2025) 445-452; doi: 10.2339/politeknik.1469530.
  3. [3] Okur Hİ, Tohma K, Sertbaş A. “Relational Turkish Text Classification with Graph Neural Networks”, Journal of Polytechnic 28(3) (2025) 867-879; doi: 10.2339/politeknik.1423293.
  4. [4] Soygazi F, Oğuz D. “Medical Text Classification Using Semisupervised Learning and Bert-Based Models”, Mühendislik Bilimleri ve Araştırmaları Dergisi 7(1) (2025) 60-69; doi: 10.46387/bjesr.1597329.
  5. [5] Gusenbauer M, Endermann J, Huber H, Strasser S, Granitzer AN, Ströhle T. “Fine-tuning SciBERT to enable ASJC-based assessments of the disciplinary orientation of research collections”, Scientometrics 131(4) (2026) 2401-2438; doi: 10.1007/s11192-025-05490-0.
  6. [6] Eşidir KA. “DistilBERT ve Geleneksel Makine Öğrenmesi Modelleri ile Duygu Analizi: Performans Karşılaştırması”, International Journal of Pure and Applied Sciences 11(2) (2025) 444-459; doi: 10.29132/ijpas.1604869.
  7. [7] Khan HU, Naz A, Alarfaj FK, Almusallam N. “Identifying artificial intelligence-generated content using the DistilBERT transformer and NLP techniques”, Scientific Reports 15 (2025) 20366; doi: 10.1038/s41598-025-08208-7.
  8. [8] Li Z, Zhu H, Lu Z, Yin M. “Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations”, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (2023) 10443-10461; doi: 10.18653/v1/2023.emnlp-main.647.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Makine Öğrenme (Diğer), Doğal Dil İşleme

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

17 Eylül 2026

Gönderilme Tarihi

21 Haziran 2026

Kabul Tarihi

16 Eylül 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 6

Kaynak Göster

APA
Shahbaz, H. (2026). An Intelligent Research Paper Assistant: Integrated Retrieval, Explainable Domain Classification, and Research-Gap Ranking. Advances in Artificial Intelligence Research, 6. https://doi.org/10.54569/aair.1975838
AMA
1.Shahbaz H. An Intelligent Research Paper Assistant: Integrated Retrieval, Explainable Domain Classification, and Research-Gap Ranking. Adv. Artif. Intell. Res. 2026;6. doi:10.54569/aair.1975838
Chicago
Shahbaz, Hamza. 2026. “An Intelligent Research Paper Assistant: Integrated Retrieval, Explainable Domain Classification, and Research-Gap Ranking”. Advances in Artificial Intelligence Research 6 (Eylül). https://doi.org/10.54569/aair.1975838.
EndNote
Shahbaz H (01 Eylül 2026) An Intelligent Research Paper Assistant: Integrated Retrieval, Explainable Domain Classification, and Research-Gap Ranking. Advances in Artificial Intelligence Research 6
IEEE
[1]H. Shahbaz, “An Intelligent Research Paper Assistant: Integrated Retrieval, Explainable Domain Classification, and Research-Gap Ranking”, Adv. Artif. Intell. Res., c. 6, Eyl. 2026, doi: 10.54569/aair.1975838.
ISNAD
Shahbaz, Hamza. “An Intelligent Research Paper Assistant: Integrated Retrieval, Explainable Domain Classification, and Research-Gap Ranking”. Advances in Artificial Intelligence Research 6 (01 Eylül 2026). https://doi.org/10.54569/aair.1975838.
JAMA
1.Shahbaz H. An Intelligent Research Paper Assistant: Integrated Retrieval, Explainable Domain Classification, and Research-Gap Ranking. Adv. Artif. Intell. Res. 2026;6. doi:10.54569/aair.1975838.
MLA
Shahbaz, Hamza. “An Intelligent Research Paper Assistant: Integrated Retrieval, Explainable Domain Classification, and Research-Gap Ranking”. Advances in Artificial Intelligence Research, c. 6, Eylül 2026, doi:10.54569/aair.1975838.
Vancouver
1.Hamza Shahbaz. An Intelligent Research Paper Assistant: Integrated Retrieval, Explainable Domain Classification, and Research-Gap Ranking. Adv. Artif. Intell. Res. 01 Eylül 2026;6. doi:10.54569/aair.1975838

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