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Improved wild horse optimization with levy flight algorithm for effective task scheduling in cloud computing
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 …
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
Abstract Human-Agent Interaction is at the forefront of rapid development, with integrating
deep learning techniques into natural language processing representing significant …
deep learning techniques into natural language processing representing significant …
Sentiment analysis in low-resource settings: a comprehensive review of approaches, languages, and data sources
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 …
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
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 …
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
Blockchain technology has revolutionized the financial landscape, witnessing widespread
adoption of cryptocurrencies due to their decentralized and transparent nature. As …
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 …
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
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 …
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' …
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 …
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 …
communication. As social media platforms set up free manifestation of facts and thoughts in …