Web mining algorithms for social media analytic

Abstract

Web mining algorithms are critical tools for analyzing the vast and complex data generated by social media platforms. These algorithms enable the extraction, processing, and analysis of large datasets to uncover patterns, trends, and insights that can inform decision-making across various domains. This article explores the fundamental web mining algorithms used in social media analytics, including their applications, strengths, and limitations. We focus on techniques such as clustering, classification, sentiment analysis, and network analysis, highlighting their roles in transforming social media data into actionable intelligence.