Sentiment Analysis using Deep Learning in Cloud

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dc.authoridVarol, Asaf/0000-0003-1606-4079en_US
dc.authoridHussain, Walayat/0000-0003-0610-4006en_US
dc.contributor.authorRaza, Muhammad Raheel
dc.contributor.authorHussain, Walayat
dc.contributor.authorTanyıldızi, Erkan
dc.contributor.authorVarol, Asaf
dc.date.accessioned2024-07-12T21:40:38Z
dc.date.available2024-07-12T21:40:38Z
dc.date.issued2021en_US
dc.department[Belirlenecek]en_US
dc.description9th International Symposium on Digital Forensics and Security (ISDFS) -- JUN 28-29, 2021 -- Fırat Univ, Elazig, TURKEYen_US
dc.description.abstractSentiments are the emotions or opinions of an individual encapsulated within texts or images. These emotions play a vital role in the decision-making process for a business. A cloud service provider and consumer are bound together in a Service Level Agreement (SLA) in a cloud environment. SLA defines all the rules and regulations for both parties to maintain a good relationship. For a long-lasting and sustainable relationship, it is vital to mine consumers' sentiment to get insight into the business. Sentiment Analysis or Opinion Mining refers to the process of extracting or predicting different point of views from a text or image to conclude. Various techniques, including Machine Learning and Deep Learning, strives to achieve results with high accuracy. However, most of the existing studies could not unveil hidden parameters in text analysis for optimal decision-making. This work discusses the application of sentiment analysis in the cloud-computing paradigm. The paper provides a comparative study of various textual sentiment analysis using different deep learning approaches and their importance in cloud computing. The paper further compares existing approaches to identify and highlight gaps in them.en_US
dc.description.sponsorshipIEEE Turkey Sect,Maltepe Univ,Sam Houston State Univ,Gazi Univ,San Diego State Univ,Arab Open Univ,Hacettepe Univ,Polytechnic Inst Cavado & Ave,Balikesir Univ,Ondokuz Mayis Univ,Assoc Software & Cyber Secur Turkey,Informat Assoc Turkey,Recep Tayyip Erdoğan Univ,Singidunum Univ,TELUQ Univ,Yıldız Teknik Univen_US
dc.identifier.doi10.1109/ISDFS52919.2021.9486312
dc.identifier.isbn978-1-6654-4481-1
dc.identifier.scopus2-s2.0-85114673385en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ISDFS52919.2021.9486312
dc.identifier.urihttps://hdl.handle.net/20.500.12415/7397
dc.identifier.wosWOS:000844418700001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof9th International Symposium on Digital Forensics And Security (Isdfs'21)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY08738
dc.subjectDeep Learningen_US
dc.subjectSentiment Analysisen_US
dc.subjectCloud Computingen_US
dc.titleSentiment Analysis using Deep Learning in Clouden_US
dc.typeConference Object
dspace.entity.typePublication

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