👉 Review computing is an interdisciplinary field that combines aspects of computer science, data analytics, and natural language processing to analyze textual reviews generated by users on various platforms such as e-commerce sites, social media, and review applications. This process involves extracting meaningful insights from unstructured text data to understand customer sentiments, preferences, and experiences with products or services. Techniques used in review computing include sentiment analysis to determine the emotional tone behind reviews, topic modeling to identify key themes and topics discussed, and machine learning algorithms to classify reviews and predict future behaviors. By leveraging these methods, businesses can gain a deeper understanding of customer feedback, improve product offerings, and enhance overall user experiences, ultimately driving better decision-making and strategic planning.
