Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM32103
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The Social Media Sentiment Analysis web application is a powerful tool designed for content creators on various social media platforms, including YouTube. This application provides an intuitive interface for extracting and analyzing comments from YouTube videos, enabling content creators to gain valuable insights into the sentiment expressed by their viewers. By entering the YouTube video URL and an email address, users can harness the capabilities of this application to gain a comprehensive understanding of how their audience perceives their content. Leveraging the YouTube Data API, the application efficiently retrieves comments from the specified video. The application generates three files: comprehensive comments, positive comments, and negative comments, which are sent via email as Excel files. An interactive HTML table showcases sentiment distribution. This user-friendly application empowers content creators to track and enhance audience engagement on social media platforms, such as YouTube, through data-driven decision-making.
KEYWORDS
Publication Date
12/31/45409
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
1
Total views since publication
PDF Downloads
3
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...