斯里兰卡YouTube趋势视频分析

S. A. I. P. Diddeniya, H. Gunasinghe, C. Premachandra
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引用次数: 1

摘要

谷歌(Google LLC)旗下的YouTube是最广泛的视频平台。在过去的几年里,它在斯里兰卡受到了广泛的欢迎。年轻人有兴趣成为全职内容创作者,但缺乏技术和营销知识。在本文中,我们提出了一个计算机辅助分析,以提供趋势YouTube视频在斯里兰卡的见解。系统以2021年1个半月的YouTube热门视频数据为输入,对其进行分析,报告视频标题、描述和缩略图等信息,这是YouTube算法在决定热门视频时的主要参数。特别地,系统使用YOLO和retanet来检测缩略图中的对象。此外,斯里兰卡的视频内容主要包括僧伽罗语,这是该国使用最多的语言。我们使用僧伽罗语处理技术来报告各种信息。总之,使用所提供的信息,YouTuber可以决定:(1)在缩略图中包含的颜色和对象,(2)通过考虑字数和符号的标题和描述,(3)标签数量,标签中包含的单词和短语以及(4)发布视频的日期和时间。结果表明,该方法可以在较少的计算量下,显著地支持YouTube视频上传的准确决策。
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YouTube Trending Video Analysis in Sri Lanka
YouTube, owned by Google LLC, is the most widespread video platform. It has gained much popularity in Sri Lanka within the last couple of years. Youth has an interest of becoming full-time content creators, but lacks technical and marketing knowledge. In this paper, we present a computer aided analysis to provide insights of trending YouTube videos in Sri Lanka. The system gets YouTube trending video data of one and a half months in year 2021 as input and analyze them to report information on video title, description and thumbnail which are the main parameters of YouTube algorithm when deciding on a trending video. Particularly, the system uses YOLO and RetinaNet for detecting objects in thumbnails. Moreover, Sri Lankan video content mainly include Sinhala language which is the mostly used language in the country. We used Sinhala language processing techniques for reporting various information. In summary, using the provided information, a YouTuber can decide on the: (1) colors and objects to include in the thumbnail, (2) title and the description by considering word count and symbols, (3) number of tags, words and phrases to include in a tag and (4) date and time to publish the video. The results indicate that the proposed approach can significantly support an accurate decision of YouTube video upload with a little computational effort.
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