A Complete Process of Text Classification System Using State‐of‐the‐Art NLP Models

V Dogra, S Verma, Kavita, P Chatterjee… - Computational …, 2022 - Wiley Online Library
With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …

[PDF][PDF] Comprehensive Review Analysis and Countermeasures for Cybersecurity Threats: DDoS, Ransomware, and Trojan Horse Attacks

N Ravichandran, T Tewaraja, V Rajasegaran… - Preprints. org, 2024 - preprints.org
With all the sophisticated threats to network security, intrusion detection is a section of the
security technology industry that is becoming increasingly significant. In this research paper …

Framework for improved sentiment analysis via random minority oversampling for user tweet review classification

SN Almuayqil, M Humayun, NZ Jhanjhi, MF Almufareh… - Electronics, 2022 - mdpi.com
Social networks such as twitter have emerged as social platforms that can impart a massive
knowledge base for people to share their unique ideas and perspectives on various topics …

Enhancing sentiment analysis via random majority under-sampling with reduced time complexity for classifying tweet reviews

SN Almuayqil, M Humayun, NZ Jhanjhi, MF Almufareh… - Electronics, 2022 - mdpi.com
Twitter has become a unique platform for social interaction from people all around the world,
leading to an extensive amount of knowledge that can be used for various reasons. People …

Multivariate graph neural networks on enhancing syntactic and semantic for aspect-based sentiment analysis

H Wang, X Qiu, X Tan - Applied Intelligence, 2024 - Springer
Aspect-based sentiment analysis (ABSA) aims to predict sentiment orientations towards
textual aspects by extracting insights from user comments. While pretrained large language …

Towards the future of bot detection: A comprehensive taxonomical review and challenges on Twitter/X

D Javed, NZ Jhanjhi, NA Khan, SK Ray, A Al Mazroa… - Computer Networks, 2024 - Elsevier
Abstract Harmful Twitter Bots (HTBs) are widespread and adaptable to a wide range of
social network platforms. The use of social network bots on numerous social network …

A review on emotion detection by using deep learning techniques

T Chutia, N Baruah - Artificial Intelligence Review, 2024 - Springer
Along with the growth of Internet with its numerous potential applications and diverse fields,
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …

Risk Management and Cybersecurity in Transportation and Warehousing

A Khan, NZ Jhanjhi, HAHBH Omar… - … Measures for Logistics …, 2024 - igi-global.com
Transportation and warehousing are vital components of logistics corporations. Their
continuous uninterrupted functioning is of paramount significance for the enterprises …

[HTML][HTML] Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages

S García-Méndez, F de Arriba-Pérez… - Expert Systems with …, 2023 - Elsevier
Microblogging platforms, of which Twitter is a representative example, are valuable
information sources for market screening and financial models. In them, users voluntarily …

Use of machine learning in air pollution research: a bibliographic perspective

S Jain, N Kaur, S Verma, Kavita, ASMS Hosen… - Electronics, 2022 - mdpi.com
This research is an attempt to examine the recent status and development of scientific
studies on the use of machine learning algorithms to model air pollution challenges. This …