International Journal of Advanced Research in Arts, Science, Engineering & Management (IJARASEM)

(A High Impact Factor, Monthly, Peer Reviewed Journal)

Article

TITLE YouTube Pulse: Tracking Trends and Viewer Reactions
ABSTRACT This study presents a comprehensive analysis of YouTube video data by leveraging the YouTube Data API to extract detailed metadata and engagement metrics. Using user-defined search terms and channel identifiers, we collected key attributes including view counts, likes, comments, publication dates, and channel information. This dataset was analysed and visualized to identify popular content and reveal audience preference trends. To address API limitations on daily analytics, we simulated daily view counts for the first week post-publication, enabling temporal performance analysis. Building on this, a Long Short-Term Memory (LSTM) neural network was developed to forecast short-term viewership trends, demonstrating the effectiveness of AI-driven predictive analytics in digital content evaluation. Viewer sentiment was analysed through natural language processing using TextBlob, categorizing comments into positive, neutral, and negative sentiments, which provided valuable insights into audience engagement quality. Additionally, a heuristic SEO scoring system was introduced to evaluate metadata completeness and keyword optimization, offering a practical metric for content discoverability. Competitor channel analysis compared key statistics such as subscriber counts and total views to contextualize performance. An interactive dashboard, developed with ipywidgets and Viola, enables dynamic exploration of video search results, channel statistics, SEO scores, and comment sentiments. This integrated approach equips content creators and researchers with actionable insights to better understand and optimize YouTube video content.
AUTHOR Surabhi KS, Varadha K Assistant Professor, Department of Computer Applications, Nehru College of Management, Coimbatore, Tamil Nadu, India Student of II MCA, Department of Computer Applications, Nehru College of Management, Coimbatore, Tamil Nadu, India
PUBLICATION DATE 2025-10-27
VOLUME 12
ISSUE 5
PDF 16_Youtube Pulse Tracking Trends and Viewer Reactions.pdf
KEYWORDS