Image Captions and Hashtags Generation Using Deep Learning Approach

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dc.authorscopusid58139241900
dc.authorscopusid36450190800
dc.authorscopusid57213153506
dc.authorscopusid35174357100
dc.contributor.authorAl-Sammarraie, Yahya Qusay Mahdi
dc.contributor.authorAl-Qawasmi, Khaled
dc.contributor.authorAl-Mousa, Mohammad Rasmi
dc.contributor.authorDesouky, Sameh F.
dc.date.accessioned2024-09-11T19:58:57Z
dc.date.available2024-09-11T19:58:57Z
dc.date.issued2022
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description1st International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2022 -- 6 December 2022 through 8 December 2022 -- Zarqa -- 187040en_US
dc.description.abstractsocial media are fantastic tools for public communication. Social media has become an integral part of our everyday lives, and an increasing number of individuals use it for marketing and communication. Social networking enables you to demonstrate your skills and knowledge without leaving home. Companies exert significant efforts to make social media more controlled and valuable while avoiding negative repercussions. They accomplish this with artificial intelligence (AI), which enables them to develop unique applications and algorithms. It can eliminate inappropriate information or spam automatically, for instance. The description and hashtags that grab the reader's attention are among the most critical aspects of a social media post's success. Typically, individuals generate multiple captions and hashtags before selecting the optimal content for a post. Occasionally, they employ content writers, which requires time, effort, and money. The suggested method makes correct captions and hashtags using conventional neural networks (CNN) trained on image datasets containing captions © 2022 IEEE.en_US
dc.identifier.doi10.1109/EICEEAI56378.2022.10050455
dc.identifier.isbn979-835033274-2en_US
dc.identifier.scopus2-s2.0-85149948506en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/EICEEAI56378.2022.10050455
dc.identifier.urihttps://hdl.handle.net/11363/8597
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof1st International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectAI; captions; Conventional Neural Networks (CNN); Hashtags; Instagram; social mediaen_US
dc.titleImage Captions and Hashtags Generation Using Deep Learning Approachen_US
dc.typeConference Objecten_US

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