Multinomial Naive Bayesian Classifier Framework for Systematic Analysis of Smart IoT Devices
Multinomial Naive Bayesian Classifier Framework for Systematic Analysis of Smart IoT Devices
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Businesses need to use sentiment analysis, powered by artificial intelligence and machine learning to forecast accurately whether or not consumers are satisfied with their offerings. This paper uses a deep learning model to analyze thousands of reviews of Amazon Alexa to predict customer sentiment. The proposed model can be directly applied to any...
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Multinomial Naive Bayesian Classifier Framework for Systematic Analysis of Smart IoT Devices
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TN_cdi_doaj_primary_oai_doaj_org_article_257d6696fe7748818f51c1ea9809e0e7
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_257d6696fe7748818f51c1ea9809e0e7
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22197318
