Image Captions and Hashtags Generation Using Deep Learning Approach

Yahya Qusay AL-Sammarraie, Khaled E. Al-Qawasmi, M. Al-Mousa, Sameh F. Desouky
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引用次数: 0

Abstract

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
使用深度学习方法生成图像标题和标签
社交媒体是公众交流的绝佳工具。社交媒体已经成为我们日常生活中不可或缺的一部分,越来越多的人使用它进行营销和交流。社交网络使你足不出户就能展示你的技能和知识。公司付出了巨大的努力,使社交媒体更受控制,更有价值,同时避免负面影响。他们通过人工智能(AI)来实现这一目标,这使他们能够开发独特的应用程序和算法。例如,它可以自动消除不适当的信息或垃圾邮件。吸引读者注意力的描述和标签是社交媒体帖子成功的最关键因素之一。通常,个人在为一篇文章选择最佳内容之前,会生成多个标题和标签。偶尔,他们会雇佣内容写手,这需要时间、精力和金钱。该方法使用传统的神经网络(CNN)在包含标题的图像数据集上训练,生成正确的标题和标签
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