Modern Approaches to Opinion Mining and Sentiment Analysis in the Digital Age

Abstract

The proliferation of user-generated content on the internet has led to an explosion of interest in opinion mining and sentiment analysis. This article explores cutting-edge techniques for extracting and analyzing opinions from web documents, focusing on the integration of machine learning, natural language processing, and big data analytics. We present a framework that leverages these technologies to provide actionable insights for businesses, researchers, and policymakers.