👉 Likes computing, often referred to as social media analytics or sentiment analysis, is a method of analyzing user interactions on digital platforms to gauge public opinion and engagement levels. It involves tracking and interpreting data such as likes, shares, comments, and other forms of user-generated content to understand how audiences perceive specific topics, brands, or individuals. By leveraging machine learning and natural language processing techniques, likes computing can identify patterns, trends, and sentiments, providing valuable insights for businesses, marketers, and researchers to refine strategies, improve content, and enhance user experiences. This process helps in understanding the emotional and behavioral responses of users, ultimately driving informed decision-making in digital marketing and social media management.
