Analyzing user sentiments toward selected content management software: a sentiment analysis of viewer’s comments on YouTube

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Information Discovery and Delivery Pub Date : 2023-12-19 DOI:10.1108/idd-01-2023-0009
Swagota Saikia, Vinit Kumar, Manoj Kumar Verma
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Abstract

Purpose The purpose of this study was to perform sentiment analysis and analyze the growth and popularity of Drupal, Joomla and WordPress on YouTube over a four-year period. This included identifying the most liked and commented videos for each content management system (CMS), ranking the CMSs based on the number of positive comments they received, and using natural language processing techniques to identify the top ten most frequently appearing words in videos about the CMSs. Design/methodology/approach The data for assessing the features of the videos of Drupal, WordPress and Joomla was extracted using Webometric Analyst version 4.4. with the help of the YouTube application programming interface key for videos on the selected CMSs uploaded from 2019 to 2022. The extraction of comments and sentiment analysis for the relevant videos was done using Mozdeh. Findings This study scrutinized 371, 234 and 313 videos of WordPress, Joomla and Drupal on YouTube. The findings reveal that there is a chronological growth of videos of the three CMSs in four years and till the present time, WordPress has the highest number of videos followed by Drupal and then Joomla. Regarding the ranking of highly liked videos, WordPress again wins the list with the highest number of likes in its videos followed by Drupal and then Joomla. For analyzing sentiments of the total comments extracted 123,409 for WordPress, 1,790 for Joomla and 1,783 for Drupal, respectively, WordPress receives the highest average positive comments followed by Drupal then Joomla. In top word frequency, the word “thank” highly occurs and viewers are asking for more tutorial videos. Originality/value To the best of the authors’ knowledge, this study is the first attempt for analyzing the sentiments of WordPress, Drupal and Joomla using Mozdeh software within the concerning period.
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分析用户对选定内容管理软件的情感:对 YouTube 上观众评论的情感分析
目的 本研究的目的是对 YouTube 上的 Drupal、Joomla 和 WordPress 在四年内的增长和受欢迎程度进行情感分析。这包括识别每个内容管理系统(CMS)中最受喜爱和评论最多的视频,根据收到的正面评论数量对 CMS 进行排名,以及使用自然语言处理技术识别有关 CMS 的视频中出现频率最高的前十个单词。使用 Mozdeh 对相关视频进行了评论提取和情感分析。研究结果本研究仔细研究了 YouTube 上 WordPress、Joomla 和 Drupal 的 371、234 和 313 个视频。研究结果表明,这三种内容管理系统的视频数量在四年内呈逐年增长趋势,到目前为止,WordPress 的视频数量最多,其次是 Drupal,再次是 Joomla。在高点赞视频排名方面,WordPress 再次以其视频的最高点赞数夺得榜首,其次是 Drupal 和 Joomla。在对 WordPress、Joomla 和 Drupal 分别提取的 123,409 条、1,790 条和 1,783 条评论进行的情感分析中,WordPress 收到的平均正面评论最多,其次是 Drupal,再次是 Joomla。在最高词频中,"感谢 "一词出现率很高,观众还要求提供更多的教程视频。原创性/价值 据作者所知,本研究是在相关时期内首次尝试使用 Mozdeh 软件分析 WordPress、Drupal 和 Joomla 的情感。
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来源期刊
Information Discovery and Delivery
Information Discovery and Delivery INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
5.40
自引率
4.80%
发文量
21
期刊介绍: Information Discovery and Delivery covers information discovery and access for digital information researchers. This includes educators, knowledge professionals in education and cultural organisations, knowledge managers in media, health care and government, as well as librarians. The journal publishes research and practice which explores the digital information supply chain ie transport, flows, tracking, exchange and sharing, including within and between libraries. It is also interested in digital information capture, packaging and storage by ‘collectors’ of all kinds. Information is widely defined, including but not limited to: Records, Documents, Learning objects, Visual and sound files, Data and metadata and , User-generated content.
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