Single vs. multi-label: The issues, challenges and insights of contemporary classification schemes

NA Sajid, A Rahman, M Ahmad, D Musleh… - Applied Sciences, 2023 - mdpi.com
Over the decades, a tremendous increase has been witnessed in the production of
documents available in digital form. The increased production of documents has gained so …

Insights into relevant knowledge extraction techniques: a comprehensive review

A Shahid, MT Afzal, M Abdar, ME Basiri, X Zhou… - The Journal of …, 2020 - Springer
More than 50 million journal papers will have been published by the end of 2019 with 2
million more journal papers published every year. The number of conference papers is even …

[PDF][PDF] A Novel Metadata Based Multi-Label Document Classification Technique.

NA Sajid, M Ahmad, A Rahman, G Zaman… - … Systems Science & …, 2023 - academia.edu
From the beginning, the process of research and its publication is an ever-growing
phenomenon and with the emergence of web technologies, its growth rate is overwhelming …

Optimizing document classification: Unleashing the power of genetic algorithms

G Mustafa, A Rauf, AS Al-Shamayleh… - IEEE …, 2023 - ieeexplore.ieee.org
Many individuals, including researchers, professors, and students, encounter difficulties
when searching for scholarly documents, papers, and journals within a specific domain …

Multi-label classification of research articles using Word2Vec and identification of similarity threshold

G Mustafa, M Usman, L Yu, MT Afzal, M Sulaiman… - Scientific Reports, 2021 - nature.com
Abstract Every year, around 28,100 journals publish 2.5 million research publications.
Search engines, digital libraries, and citation indexes are used extensively to search these …

Exploiting papers' reference's section for multi-label computer science research papers' classification

NA Sajid, M Ahmad, MT Afzal… - Journal of Information & …, 2021 - World Scientific
The profusion of documents production at an exponential rate over the web has made it
difficult for the scientific community to retrieve most relevant information against the query …

A comprehensive evaluation of metadata-based features to classify research paper's topics

G Mustafa, M Usman, MT Afzal, A Shahid… - IEEE Access, 2021 - ieeexplore.ieee.org
The existing plethora of document classification techniques exploits different data sources
either from the content or metadata of research articles. Various journal publishers like …

Multi-label classification of computer science documents using fuzzy logic

NA Sajid, MT Afzal, MA Qadir - … of the National Science Foundation of …, 2016 - jnsfsl.sljol.info
Classification has been already used for the prediction of predefined topics in many
diversified domains including research paper classification task. A research paper may …

Exploiting Label Dependencies for Multi-Label Document Classification Using Transformers

H Fallah, E Bruno, P Bellot, E Murisasco - Proceedings of the ACM …, 2023 - dl.acm.org
We introduce in this paper a new approach to improve deep learning-based architectures for
multi-label document classification. Dependencies between labels are an essential factor in …

Investigating maps of science using contextual proximity of citations based on deep contextualized word representation

M Roman, A Shahid, S Khan, L Yu, M Asif… - IEEE Access, 2022 - ieeexplore.ieee.org
The citation intent extraction and classification has long been studied as it is a good
measure of relevancy. Different approaches have classified the citations into different …