As social media continues to dominate the online landscape, businesses and organizations are increasingly turning to sentiment analysis to understand how people feel about their products, services, and brand. Sentiment analysis involves using natural language processing (NLP) and machine learning algorithms to analyze social media posts, reviews, and other online content to determine whether the sentiment expressed is positive, negative, or neutral.
While traditional sentiment analysis has proven to be a valuable tool for businesses, it has its limitations. For example, it can struggle to accurately interpret sarcasm, irony, and other forms of nuanced language.