Analysing Trust, Security and Cost of Cloud Consumer’s Reviews using RNN, LSTM, and GRU

dc.contributor.authorRaza, Muhammad Raheel
dc.contributor.authorHussain, Walayat
dc.contributor.authorRajaeian, Mehdi
dc.date.accessioned2026-08-12T16:16:09Z
dc.date.issued2023
dc.departmentFırat Üniversitesi
dc.description.abstractPeople frequently seek out the advice of others and ask for recommendations before making decisions. They share their suggestions online, thanks to public social media. Customers often search for a product before purchasing it, and online reviews have a major impact on their decision. Companies may learn more about people’s thoughts and preferences by soliciting feedback on their goods through formal and informal communication channels [1]. In many cases, assessing sentiments independently for each business factor is more valuable than obtaining the general sentiment of a topic. © 2024 selection and editorial matter, Walayat Hussain, Honghao Gao, Fethi Rabhi and Luis Martínez; individual chapters, the contributors.
dc.identifier.doi10.1201/9781003340621-4
dc.identifier.endpage65
dc.identifier.isbn978-100099395-0
dc.identifier.isbn978-103237527-4
dc.identifier.scopus2-s2.0-85176376086
dc.identifier.scopusqualityN/A
dc.identifier.startpage52
dc.identifier.urihttps://doi.org/10.1201/9781003340621-4
dc.identifier.urihttps://hdl.handle.net/11508/44103
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherCRC Press
dc.relation.ispartofAdvances in Complex Decision Making: Using Machine Learning and Tools for Service-Oriented Computing
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.titleAnalysing Trust, Security and Cost of Cloud Consumer’s Reviews using RNN, LSTM, and GRU
dc.typeBook Chapter

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