Purpose

The purpose of the study is to evaluate certain characteristics of the videos of the software Koha and DSpace posted on YouTube. Since YouTube has the potential to provide the content creator to share their knowledge and experience through their content which has become much more beneficial to the information seeker. Nowadays, people search for queries or tutorial videos on YouTube very often to earn a better understanding of the term. Sentiment analysis of the viewers' opinion of the videos is another purpose of this study.

Design/methodology/approach

Dataset for evaluating the characteristic of the videos of Koha and DSpace was extracted by using Webometric Analyst by creating YouTube API. Once retrieval of data was completed, a manual verification was enhanced to filter out spam videos unrelated to the scope. After the confirmation of authentic relatable videos, seeking the video's id as query, the comments per video were extracted using Webometric Analyst. For opinion mining, the Parallel Dots API web service was used in Google Sheets as an addon function. The sentiment, multilingual sentiment, emotion, intention and word frequency of the viewers' opinion was examined with the help of certain default functionalities.

Findings

Webometric Analyst extracted a total of 461 and 397 videos of Koha and DSpace, respectively, uploaded on the YouTube platform. The findings of the study indicate that the growth rate of videos on Koha is decreasing, while the number of videos uploaded on DSpace is gradually increased in the last 10 years. The highest number of videos posted in 1–20 min duration category with mostly high definition (HD) with standard YouTube license and prominently in the English language. The sentiment analysis of the total extracted comments on Koha and DSpace videos found to be 2043 and 862 comments, respectively, among whom “Positive” comments are mostly found and with “Happy” emotion can be highly detected with most supportive “Feedback” intention on both Koha and DSpace videos. The top word frequency signifies that the users of both the software are using the comments section of the videos on YouTube to ask and provide troubleshooting help to each other.

Research limitations/implications

The present study has some limitations too; the dataset for the study includes only those videos whose title, description or keywords sections had the query terms “Koha” or “DSpace” there are chances that some videos would have been left out from the dataset related to these software.

Originality/value

This is the first paper to evaluate the characteristics and sentiment of both the videos Koha and DSpace. Through this, the popularity, likeness and dislike and the impact of the contents of the videos uploaded will be disclosed, and creators can make an improvement by referring this, and the seekers will adapt to the use of correct and authentic information.

中文翻译：

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Koha和DSpace上的YouTube视频内容分析，以及观众评论的情感分析

目的

本研究的目的是评估 YouTube 上发布的 Koha 和 DSpace 软件视频的某些特征。由于 YouTube 有潜力为内容创建者提供通过内容分享知识和经验的机会，这对信息搜索者来说更加有利。如今，人们经常在 YouTube 上搜索查询或教程视频，以更好地理解该术语。对观看者对视频的看法进行情感分析是本研究的另一个目的。

设计/方法论/途径

通过创建 YouTube API，使用 Webometric Analyst 提取用于评估 Koha 和 DSpace 视频特征的数据集。数据检索完成后，加强人工验证，过滤掉与范围无关的垃圾视频。在确认真实的相关视频后，通过查找视频的 ID 作为查询，使用 Webometric Analyst 提取每个视频的评论。为了进行意见挖掘，Google Sheets 中使用了 Parallel Dots API Web 服务作为插件功能。借助某些默认功能，可以检查观众意见的情绪、多语言情绪、情感、意图和词频。

发现

Webometric Analyst 分别提取了 Koha 和 DSpace 上传到 YouTube 平台的 461 个和 397 个视频。研究结果表明，近10年来Koha上的视频增长率正在下降，而DSpace上上传的视频数量却在逐渐增加。在 1-20 分钟时长类别中发布的视频数量最多，其中大部分是具有标准 YouTube 许可的高清 (HD) 视频，并且以英语为主。对 Koha 和 DSpace 视频上提取的评论总数进行情感分析，分别为 2043 条和 862 条评论，其中以“正面”评论居多，并且可以高度检测到“快乐”情感，其中最支持“反馈”意图的是Koha 和 DSpace 视频。

研究局限性/影响

本研究也有一些局限性；该研究的数据集仅包含标题、描述或关键字部分包含查询词“Koha”或“DSpace”的视频，与这些软件相关的数据集中可能会遗漏某些视频。

原创性/价值

这是第一篇评估视频 Koha 和 DSpace 的特征和情感的论文。通过这种方式，上传视频内容的受欢迎程度、好恶度和影响力都会被公开，创作者可以参考这些内容进行改进，搜索者也会适应使用正确、真实的信息。