Image Captions and Hashtags Generation Using Deep Learning Approach

[ N/A ]

Tarih

2022

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Institute of Electrical and Electronics Engineers Inc.

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

social 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.

Açıklama

1st International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2022 -- 6 December 2022 through 8 December 2022 -- Zarqa -- 187040

Anahtar Kelimeler

AI; captions; Conventional Neural Networks (CNN); Hashtags; Instagram; social media

Kaynak

1st International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2022

WoS Q Değeri

Scopus Q Değeri

N/A

Cilt

Sayı

Künye