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A complete process of text classification system using state‐of‐the‐art NLP models
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 …
exponentially growing day by day, especially in the form of text documents such as news …
A review on emotion detection by using deep learning techniques
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 …
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …
[HTML][HTML] Framework for improved sentiment analysis via random minority oversampling for user tweet review classification
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 …
knowledge base for people to share their unique ideas and perspectives on various topics …
[HTML][HTML] Enhancing sentiment analysis via random majority under-sampling with reduced time complexity for classifying tweet reviews
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 …
leading to an extensive amount of knowledge that can be used for various reasons. People …
[HTML][HTML] Exploring the sentiment in Borsa Istanbul with deep learning
A Atak - Borsa Istanbul Review, 2023 - Elsevier
Sentiment analysis holds immense importance in finance and economics, addressing
crucial issues such as principal–agent dynamics and information imbalances. The rise of …
crucial issues such as principal–agent dynamics and information imbalances. The rise of …
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 …
continuous uninterrupted functioning is of paramount significance for the enterprises …
[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 …
security technology industry that is becoming increasingly significant. In this research paper …
Multivariate graph neural networks on enhancing syntactic and semantic for aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) aims to predict sentiment orientations towards
textual aspects by extracting insights from user comments. While pretrained large language …
textual aspects by extracting insights from user comments. While pretrained large language …
[HTML][HTML] Use of machine learning in air pollution research: A bibliographic perspective
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 …
studies on the use of machine learning algorithms to model air pollution challenges. This …
Towards the future of bot detection: A comprehensive taxonomical review and challenges on Twitter/X
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 …
social network platforms. The use of social network bots on numerous social network …