Social Media Sentiment Analyzer

DOI

https://www.doi.org/10.59256/ijire.20250604008

Published In

Volume 6, Issue 4 (2025)

Published Online

July-August 2025

Pages

48-52

Article Type

Original Article

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The Social Media Sentiment Analyzer is a real-time web-based tool designed to assess public opinions across social media platforms. Built using Python and Streamlit, the system employs natural language processing (NLP) and machine learning algorithms including Logistic Regression, Random Forest, and Neural Networks. It performs sentiment classification into positive, negative, and neutral classes using TF-IDF feature extraction. The tool provides interactive dashboards for real-time visualization and helps individuals and businesses monitor sentiment trends effectively. The system is scalable, customizable, and open-source, with support for integration into existing data workflows and potential for multilingual adaptation