Sentiment analysis on twitter data based on spider monkey optimization and deep learning for future prediction of the brands

Summary In this manuscript, a deep neural network is proposed by integrating improved adaptive‐network‐based fuzzy inference system (IANFIS) for branding online products to overcome these issues. Here, the sentiment analysis (SA) and prediction on future branding of products that are extracted from...

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Veröffentlicht in:	Concurrency and computation Jg. 34; H. 21
Hauptverfasser:	Kothamasu, Lakshmi Anusha, Kannan, E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 25.09.2022 Wiley Subscription Services, Inc
Schlagworte:	Artificial neural networks Classification Data analysis Data mining Deep learning deep neural network Genetic algorithms improved adaptive‐network‐based fuzzy inference system Machine learning Neural networks opinion mining Optimization Particle swarm optimization Sentiment analysis Social networks Support vector machines Twitter
ISSN:	1532-0626, 1532-0634
Online-Zugang:	Volltext
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