A Centered Convolutional Restricted Boltzmann Machine Optimized by Hybrid Atom Search Arithmetic Optimization Algorithm for Sentimental Analysis

Sentiment analysis uses natural language processing (NLP) to track online conversations and uncover additional information about a subject, business, or theme. Existing machine-learning algorithms are accurate and perform well, but they struggle to reduce computational time and cope with the noisy a...

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Vydáno v:	Neural processing letters Ročník 54; číslo 5; s. 4123 - 4151
Hlavní autoři:	Karthik, E., Sethukarasi, T.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.10.2022 Springer Nature B.V
Témata:	Accuracy Algorithms Arithmetic Artificial Intelligence Complex Systems Computational Intelligence Computer Science Computing time Data mining Datasets Decay rate Deep learning Machine learning Mathematical models Natural language processing Neural networks Optimization Parameters Randomness Sentiment analysis Social networks Stability analysis User behavior United States > US Sentiment analysis Hybrid optimization Centered convolutional restricted Boltzmann machines Social media User behavioral analysis
ISSN:	1370-4621, 1573-773X
On-line přístup:	Získat plný text
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