Enhancing sentiment analysis using Roulette wheel selection based cuckoo search clustering method

Pandey, Avinash Chandra; Kulhari, Ankur; Shukla, Deep Shikha

doi:10.1007/s12652-021-03603-0

Cited by 16 publications

(5 citation statements)

References 104 publications

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“… Step 4: End. Use the roulette selection method to realize the selection of strategies [ 24 ]. The specific steps are as follows: Step 1: Rank the fitness of individuals in the population in descending order to obtain the sequence { X N 1 ,…, X Ni , X Nn } of the sorted chromosomes.…”

Section: Methodsmentioning

confidence: 99%

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Smart Home Product Layout Design Method Based on Real-Number Coding Genetic Algorithm

Nan

2022

Computational Intelligence and Neuroscience

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Aiming at the problems of poor layout design efficiency of smart home products and low rationality of layout planning, a layout design method for smart home products based on a real-number coding genetic algorithm is proposed. The principles of smart home product layout design are analyzed and the smart home system architecture based on the Internet of Things is designed. Divide the combination of smart home product layout space according to spatial function, extract the visual features of smart home product layout, build a smart home product layout optimization model based on the two constraints of the total area and individual area of smart home product spatial layout, and design a real-coded genetic algorithm. The model is solved to improve the global convergence of the algorithm, and the optimization method for the layout of smart home products is obtained. The experimental results show that the layout design method of smart home products based on a real-number coding genetic algorithm can accurately extract the layout features of smart home products and accurately classify the number of pairs of homes. The efficiency of layout design and rationality of layout planning of smart home products are better, which reflects the effectiveness of this method.

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Section: Methodsmentioning

confidence: 99%

“…(4) Use the roulette selection method to realize the selection of strategies [24]. e specific steps are as follows:…”

Section: Model Solving Based On Real-coded Genetic Algorithmmentioning

confidence: 99%

Smart Home Product Layout Design Method Based on Real-Number Coding Genetic Algorithm

Nan

2022

Computational Intelligence and Neuroscience

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“…It was integrated into DE by Qian et al 39 for the purpose of mutation strategy selection, enhancing its convergence behaviour. In the domain of sentiment analysis, RWS was utilized by Pandey et al 40 to bolster the performance of the CS algorithm, leading to improved outcomes. The capabilities of RWS extend beyond traditional algorithms.…”

Section: Novel Version Of Sine Cosine Algorithmmentioning

confidence: 99%

Enhancing engineering optimization using hybrid sine cosine algorithm with Roulette wheel selection and opposition-based learning

Pham,

Nguyen Dang,

Nguyen

2024

Sci Rep

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Meta-heuristic algorithms distinguish themselves from conventional optimization methods owing to their intrinsic adaptability and straightforward implementation. Among them, the sine cosine algorithm (SCA) is lauded for its ability to transition seamlessly between exploration and exploitation phases throughout the optimization process. However, there exists potential for enhancing the balance that SCA maintains between exploration and exploitation. To augment the proficiency in global optimization of SCA, an innovative strategy—nSCA—that integrates the roulette wheel selection (RWS) with opposition-based learning was formulated. The robustness of nSCA was rigorously evaluated against leading-edge methods such as the genetic algorithm (GA), particle swarm optimization, moth-flame optimization, ant lion optimization, and multi-verse optimizer, as well as the foundational SCA. This evaluation included benchmarks set by both CEC 2019 and CEC 2021 test functions. Additionally, the performance of nSCA was confirmed through numerous practical optimization problems, emphasizing its effectiveness in applied settings. In all evaluations, nSCA consistently showcased superior performance compared to its evolutionary algorithm counterparts, delivering top-tier solutions for both benchmark functions and real-world optimization challenges. Given this compelling evidence, one can posit that nSCA serves as a strong candidate for addressing intricate optimization challenges found in real-world contexts, regardless of whether they are of a discrete or continuous nature.

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“…In the manuscript [50], divide anomalous data into clusters using K-means to decide the anomaly type. The authors developed a framework for anomaly detection on two case studies (Corona Virus Tweet Dataset and Russia Ukraine Tweet Dataset) from Twitter/X, pre-processing of data, topic modelling, collection of the most frequently used words by applying topic modelling with LDA and Non-negative matrix factorization (NMF) [53].…”

Section: Health and Medicine (Covid-19) Customer Preferences And Soci...mentioning

confidence: 99%

Clustering Algorithms in Sentiment Analysis Techniques in Social Media – A Rapid Literature Review

Pavaloaia

2024

IJACSA

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Based on the high dynamic of Sentiment Analysis (SA) topic among the latest publication landscape, the current review attempts to fill a research gap. Consequently, the paper elaborates on the most recent body of literature to extract and analyze the papers that elaborate on the clustering algorithms applied on social media datasets for performing SA. The current rapid review attempts to answer the research questions by analyzing a pool of 46 articles published in between Dec 2020 -Dec 2023. The manuscripts were thoroughly selected from Scopus (Sco) and WebOf-Science (WoS) databases and, after filtering the initial pool of 164 articles, the final results (46) were extracted and read in full.

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Enhancing sentiment analysis using Roulette wheel selection based cuckoo search clustering method

Cited by 16 publications

References 104 publications

Smart Home Product Layout Design Method Based on Real-Number Coding Genetic Algorithm

Smart Home Product Layout Design Method Based on Real-Number Coding Genetic Algorithm

Enhancing engineering optimization using hybrid sine cosine algorithm with Roulette wheel selection and opposition-based learning

Clustering Algorithms in Sentiment Analysis Techniques in Social Media – A Rapid Literature Review

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