Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{201073,
author = {Mrs. Veerendeswari J and Mrs. Celin Julie B and Gokula Krishnan K and Hariprasath S and Madhan M},
title = {Unified Social Media Management System with Ai-Based Comment Analysis},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {no},
pages = {315-322},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=201073},
abstract = {In today's fast-paced digital world, managing multiple social media platforms can be time-consuming and inefficient. The proposed system integrates Instagram, Facebook, and LinkedIn APIs into a single React-based platform, enabling users to seamlessly manage their social media presence in one place. This unified solution allows users to post and track their activities across platforms, ensuring a consistent and professional digital identity. Additionally, the system enhances user engagement by supporting image, audio, and video uploads. Users can comment on feeds, which are processed using BERT to classify content for better insights. This feature helps users filter relevant interactions, improving content management and audience engagement. The platform is particularly beneficial for job seekers, enabling them to maintain a professional online presence, showcase achievements, and streamline networking efforts. By consolidating and optimizing social media interactions, the system maximizes efficiency, strengthens personal branding, and enhances career growth in a competitive digital landscape.},
keywords = {Social Media Integration, React-Based Platform, API Integration, Instagram, Facebook, LinkedIn, Content Management, BERT, Feed Classification.},
month = {May},
}
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