Sentiment Analysis With ML: ML Impact

This book explores the impact of sentiment analysis on social media platforms, examining how it influences public perception and behavior. It also delves into the role of machine learning in analyzing and understanding the dynamics of online interactions and the behavioral patterns associated with specific situations. In the rapidly evolving digital landscape, social media has become an integral part of daily life, shaping public discourse, influencing opinions, and fostering global interactions. The proliferation of various platforms, such as Facebook, Twitter, Instagram, and LinkedIn, has created vast digital ecosystems where individuals, organizations, and even governments engage in discussions, debates, and content sharing. The continuous flow of information in these online spaces has led to a growing interest in understanding how opinions and emotions expressed on these platforms impact society. One of the most effective methods for analyzing and interpreting these interactions is sentiment analysis, a field that employs computational techniques to assess and categorize opinions expressed in text, images, and videos. This book delves into the profound impact of sentiment analysis on social media platforms, exploring how it influences public perception and human behavior. Sentiment analysis, also known as opinion mining .