Identifying learners' topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques

H Zankadi, A Idrissi, N Daoudi, I Hilal - Education and Information …, 2023 - Springer
Interests play an essential role in the process of learning, thereby enriching learners
'interests will yield to an enhanced experience in MOOCs. Learners interact freely and …

Research on semantic representation and citation recommendation of scientific papers with multiple semantics fusion

Y Lu, M Yuan, J Liu, M Chen - Scientometrics, 2023 - Springer
With the growth in scientific papers, citation recommendation which enables researchers to
find useful references efficiently and further to promote academic communication and …

ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models

S Chopra, H Ahmad, D Goel, C Szabo - arXiv preprint arXiv:2412.04756, 2024 - arxiv.org
The increasing frequency and sophistication of cybersecurity vulnerabilities in software
systems underscore the urgent need for robust and effective methods of vulnerability …

Research on personalized learning path planning model based on knowledge network

H Li, R Gong, Z Zhong, L Xing, X Li, H Li - Neural Computing and …, 2023 - Springer
Constructing a personalized learning path is a critical way to solve the problem of cognitive
difference and learning disorientation effectively. The construction process of the learning …

Epidemiological passport system requirements: a roadmap for international travel and tourism recovery

O Ali, AA Ashtaiwi, A Jaradat, J Soar - Cogent Social Sciences, 2024 - Taylor & Francis
Global tourism demand is vulnerable to pandemics such as the COVID-19 pandemic, which
made international travel difficult if not impossible. To improve the robustness of global …

Advanced product review summarization in e-commerce marketplaces: elevating beyond tf-idf and lexrank method

RM Anggraeni, DP Ismi - Science in Information Technology …, 2022 - pubs2.ascee.org
In the fiercely competitive domain of online product sales, wherein engendering trust among
prospective buyers assumes paramount significance, the role of product reviews cannot be …

Identifying characteristics of software vulnerabilities by their textual description using machine learning

K Izrailov, M Buinevich, I Kotenko… - 2021 World …, 2021 - ieeexplore.ieee.org
Significant problems in the development of secure software are the complexity of formalizing
software vulnerabilities and the lack of information security experts. The paper tests the …

Longt5Rank: A novel integrated hybrid approach for text summarisation

AJJ Lau, CW Tan - Journal of Telecommunications and the …, 2024 - search.informit.org
Text summarisation reduces text length while retaining important information, helping
individuals, especially students, in managing information overload during research or …

[PDF][PDF] Enhanced TextRank using weighted word embedding for text summarization.

E Yulianti, N Pangestu, MA Jiwanggi - International Journal of Electrical …, 2023 - core.ac.uk
The length of a news article may influence people's interest to read the article. In this case,
text summarization can help to create a shorter representative version of an article to reduce …

Analysis of Consistency and Structure of Scholarly Papers Using Natural Language Processing

SM Umar, I Nurtanio, Z Zainuddin - 2024 International Seminar …, 2024 - ieeexplore.ieee.org
This study aims to analyze author consistency in journal writing and make a simple
conclusion by measuring word similarity based on journal content: Title, Abstract …