Improved wild horse optimization with levy flight algorithm for effective task scheduling in cloud computing

G Saravanan, S Neelakandan, P Ezhumalai… - Journal of Cloud …, 2023 - Springer
Cloud Computing, the efficiency of task scheduling is proportional to the effectiveness of
users. The improved scheduling efficiency algorithm (also known as the improved Wild …

[HTML][HTML] Deep learning-based natural language processing in human-agent interaction: Applications, advancements and challenges

N Ahmed, AK Saha, MA Al Noman, JR Jim… - Natural Language …, 2024 - Elsevier
Abstract Human-Agent Interaction is at the forefront of rapid development, with integrating
deep learning techniques into natural language processing representing significant …

Sentiment analysis in low-resource settings: a comprehensive review of approaches, languages, and data sources

A Yusuf, A Sarlan, KU Danyaro, ASBA Rahman… - IEEE …, 2024 - ieeexplore.ieee.org
The field of low-resource sentiment analysis has seen significant developments in recent
years. This research review SLR evaluates the approaches and data sources utilized in low …

Towards safer online communities: Deep learning and explainable AI for hate speech detection and classification

H Kibriya, A Siddiqa, WZ Khan, MK Khan - Computers and Electrical …, 2024 - Elsevier
The internet and social media facilitate widespread idea sharing but also contribute to cyber-
crimes and harmful behaviors, notably the dissemination of abusive and hateful speech …

Enhancing zero-shot crypto sentiment with fine-tuned language model and prompt engineering

RSM Wahidur, I Tashdeed, M Kaur, HN Lee - IEEE Access, 2024 - ieeexplore.ieee.org
Blockchain technology has revolutionized the financial landscape, witnessing widespread
adoption of cryptocurrencies due to their decentralized and transparent nature. As …

A gradient boosted decision tree-based influencer prediction in social network analysis

N Subramani… - Big Data and Cognitive …, 2023 - mdpi.com
Twitter, Instagram and Facebook are expanding rapidly, reporting on daily news, social
activities and regional or international actual occurrences. Twitter and other platforms have …

Offensive language detection in spanish social media: Testing from bag-of-words to transformers models

JM Molero, J Pérez-Martín, A Rodrigo, A Peñas - IEEE Access, 2023 - ieeexplore.ieee.org
Social networks allow us to communicate with people around the world. However, some
users usually take advantage of anonymity for writing offensive comments to others, which …

A survey and comparative study on negative sentiment analysis in social media data

J Paul, A Das Chatterjee, D Misra, S Majumder… - Multimedia Tools and …, 2024 - Springer
With the rapid growth of internet usage, especially on social media, forums, review platforms,
and blogs, an enormous amount of data is being generated. This data often contains users' …

Forecasting of e-commerce system for sale prediction using deep learning modified neural networks

S Neelakandan, V Prakash… - 2023 International …, 2023 - ieeexplore.ieee.org
E-commerce is the practice of purchasing and selling goods over the Internet. Customers
will appreciate the simplicity of not having to make physical purchases using e-primary …

A feature fusion and detection approach using deep learning for sentimental analysis and offensive text detection from code-mix Malayalam language

AR Pillai, B Arun - Biomedical Signal Processing and Control, 2024 - Elsevier
Social media has efficiently turned out to be a major source of digital marketing and
communication. As social media platforms set up free manifestation of facts and thoughts in …