Explicit and implicit oriented Aspect-Based Sentiment Analysis with optimal feature selection and deep learning for demonetization in India

Ananthajothi, K; Karthikayani, K.; Prabha, R.

doi:10.1016/j.datak.2022.102092

Cited by 21 publications

(2 citation statements)

References 45 publications

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“…Overall, the IQHPSO algorithm is a powerful optimization technique that combines the strengths of PSO and quantum computing to achieve better results in a wide range of optimization problems. Its ability to dynamically adjust its parameters and adapt to different search spaces makes it a valuable tool for researchers and practitioners in various fields [35][36][37].…”

Section: Update Personal and Global Best Positionsmentioning

confidence: 99%

Improved Quantum-inspired Hybrid Particle Swarm Optimization Based Resource Allocation for Quantum- Enabled IoT Devices in Ad Hoc Networks

2024

Preprint

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Ad hoc networks of quantum-enabled IoT devices require efficient resource allocation techniques to optimize energy consumption and data transmission rates. This paper proposes an enhanced version of quantum-inspired hybrid particle swarm optimization called the Improved quantum-inspired hybrid particle swarm optimization (IQHPSO) algorithm for resource allocation in ad hoc networks of quantum-enabled IoT devices. The enhanced QHPSO algorithm incorporates a novel innovation technique based on adaptive parameter tuning and a global best selection strategy that further improves the optimization performance of the QHPSO approach. We evaluate the proposed approach through simulations and compare its performance with the original QHPSO algorithm and other state-of-the-art optimization techniques regarding objective functions such as energy consumption, data transmission rate, and network lifetime. Our results show that the IQHPSO algorithm outperforms the original QHPSO algorithm by 10-15% in energy consumption, 5-10% in data transmission rate, and 3-7% in network lifetime. Furthermore, our results demonstrate that the IQHPSO algorithm outperforms other state-of-the-art optimization techniques regarding these objective functions. We also discuss the practical implementation of the IQHPSO algorithm in a real-world ad hoc network of quantum-enabled IoT devices. This research contributes to the ongoing development of quantum-inspired optimization techniques for wireless networking applications. Furthermore, it demonstrates the benefits of incorporating innovative approaches, such as adaptive parameter tuning and global best selection strategy, to improve the performance of existing optimization algorithms.

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Section: Update Personal and Global Best Positionsmentioning

confidence: 99%

Improved Quantum-inspired Hybrid Particle Swarm Optimization Based Resource Allocation for Quantum- Enabled IoT Devices in Ad Hoc Networks

2024

Preprint

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“…The acquisition of a particular type of information facilitates the development of related knowledge through frequent utilization and repetition. Ananthajothi, Karthikayani, and Prabha [27] have posited that the expansion of both implicit and explicit knowledge can occur simultaneously. Specifically, gaining a deeper understanding of a linguistic structure through implicit learning need not result in a reduction of explicit knowledge about said structure.…”

Section: Employing the Implicit Knowledge Viewpoint In Chemistry Lear...mentioning

confidence: 99%

The Importance of Implicit Knowledge in Chemistry Teaching and Learning

Dong

2023

JEBI

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The term "implicit knowledge" encompasses a variety of subfields, including but not limited to experiential knowledge, tacit knowledge, and accidental learning paradigms. This article explores the concept of implicit knowledge and its perceived importance in the process of learning. The concept of tacit knowledge holds significant importance in the development of research aimed at investigating student cognition and comprehension in the field of chemistry, as well as in the analysis and application of research outcomes in educational settings. Literature on cognition argues that most knowledge, which individuals utilize when evaluating their environment and executing decisions is not available to conscious reflection. As a result, scholars in the realm of chemistry education must explore alternative methods to elicit tacit knowledge, which holds significant ramifications for their research endeavors. Hence, it is crucial to consider that the outcomes of numerous chemistry-related investigations, which document the conceptions of students, may reflect cognitive processes that rely on tacit knowledge to some extent. The differentiation between implicit and explicit information is paramount in understanding the cognitive process of learning chemistry, as the former operates subconsciously without conscious effort.

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Exploring Sentiments in Text: A Survey of Implicit and Explicit Aspect-Based Sentiment Analysis

Ziaulla,

Biradar

2024

Algorithms for Intelligent Systems

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Explicit and implicit oriented Aspect-Based Sentiment Analysis with optimal feature selection and deep learning for demonetization in India

Cited by 21 publications

References 45 publications

Improved Quantum-inspired Hybrid Particle Swarm Optimization Based Resource Allocation for Quantum- Enabled IoT Devices in Ad Hoc Networks

Improved Quantum-inspired Hybrid Particle Swarm Optimization Based Resource Allocation for Quantum- Enabled IoT Devices in Ad Hoc Networks

The Importance of Implicit Knowledge in Chemistry Teaching and Learning

Exploring Sentiments in Text: A Survey of Implicit and Explicit Aspect-Based Sentiment Analysis

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