Sentiment analysis using deep learning techniques: a comprehensive review

C Sahoo, M Wankhade, BK Singh - International Journal of Multimedia …, 2023 - Springer
With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …

Cloud intrusion detection framework using variational auto encoder Wasserstein generative adversarial network optimized with archerfish hunting optimization …

G Senthilkumar, K Tamilarasi, JK Periasamy - Wireless Networks, 2023 - Springer
The cloud computing environment has been severely harmed by security issues, which has
a negative impact on the healthy and sustainable development of the cloud. Intrusion …

Graph sample and aggregate attention network optimized with barnacles mating algorithm based sentiment analysis for online product recommendation

N Pughazendi, PV Rajaraman, MH Mohammed - Applied Soft Computing, 2023 - Elsevier
Big data analytics is important in many businesses that use computing applications like real-
time shopping and e-commerce. Big data is employed for promoting goods and improve …

Aspect-based sentiment analysis on multi-domain reviews through word embedding

M Venu Gopalachari, S Gupta, S Rakesh… - Journal of Intelligent …, 2023 - degruyter.com
The finest resource for consumers to evaluate products is online product reviews, and
finding such reviews that are accurate and helpful can be difficult. These reviews may …

Hybrid Quantum Computing and Decision Tree-Based Data Mining for Improved Data Security

K Sudharson, NS Usha, G Babu… - 2023 7th …, 2023 - ieeexplore.ieee.org
Data mining and quantum computing have become potent methods for analyzing massive
datasets and gaining insightful conclusions. However, conventional techniques for data …

Impact of social media posts' characteristics on movie performance prior to release: an explainable machine learning approach

I Abdulrashid, IS Ahmad, A Musa… - Electronic Commerce …, 2024 - Springer
In the era of invasive social media and advanced artificial intelligence, sentiment analysis
has become a vital tool for e-commerce and businesses to grasp user needs and monitor …

[HTML][HTML] Mixed emotion extraction analysis and visualisation of social media text

Y Li, J Chan, G Peko, D Sundaram - Data & Knowledge Engineering, 2023 - Elsevier
With the widespread use of social media and accelerated development of artificial
intelligence, sentiment analysis is regarded as an important way to help enterprises …

SmartTask: A Neural Network Powered Block-chain based Intelligent Task Scheduling for Project Management

K Sudharson, KRM Raj, K Selvi… - … and Smart Electrical …, 2023 - ieeexplore.ieee.org
This research pioneers SmartTask, an innovative paradigm for intelligent task scheduling in
project management, leveraging the novel technique of Reinforcement Learning with …

Challenges and Solutions in Emotion Detection Using Deep Learning Approaches

S Mallik, A Rana - Machine and Deep Learning Techniques for …, 2024 - igi-global.com
Emotion detection using deep learning techniques has gained significant attention due to its
wide-ranging applications in fields such as healthcare, marketing, human-computer …

Deep Learning Approaches for Effective Human Computer Interaction: A Comprehensive Survey on Single and Multimodal Emotion Detection

M Jagadeesh, S Viswanathan… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
Emotions play an important role in communication, given its complexity, emotion recognition
research is difficult because people convey their emotions through a variety of modalities …