[HTML][HTML] 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] 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 …

Findings of the shared task on sentiment analysis in tamil and tulu code-mixed text

A Hegde, BR Chakravarthi… - Proceedings of the …, 2023 - aclanthology.org
In recent years, there has been a growing focus on Sentiment Analysis (SA) of code-mixed
Dravidian languages. However, the majority of social media text in these languages is code …

Preparation of Rich Lists of Research Gaps in the Specific Sentiment Analysis Tasks of Code-mixed Indian Languages

JR Saini, S Roy - SN Computer Science, 2023 - Springer
Sentiment Analysis (SA) task for code-mixed Romanized text is an emerging area of
research in Natural Language Processing (NLP). Since informal expression of sentiments in …

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 …

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 …

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 …

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 …