ISSN : 2663-2187

Evaluate the Accuracy of the Developed Framework of Social Media Systems through Rigorous Testing and Validation against Different Datasets

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Sunita Rajesh Ballal, Dr. Paresh Jain
ยป doi: 10.33472/AFJBS.6.10.2024.5116-5133

Abstract

This research presents an innovative framework aimed at developing advanced machine learning techniques for sentiment analysis, trend detection, and customer segmentation using social media data. Leveraging datasets from platforms such as Twitter, Reddit, YouTube, Instagram, and Facebook of the year 2024, the framework integrates cutting-edge methodologies to enhance market strategies and decision-making support for businesses. Through rigorous testing and validation against different datasets, the accuracy and effectiveness of the framework are evaluated. The results demonstrate significant improvements in data quality, efficiency, and actionable business insights, highlighting the potential for transformative impact on decision-making processes

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