Unstructured Human Language from User Feedback
Transform raw text from customer feedback, reviews, surveys, and social media into insights using NLP pipelines. Sentiment analysis tools extract subjective qualities, attitudes, emotions, sarcasm, confusion, and suspicion from text. We deploy topic modeling techniques, such as latent Dirichlet allocation, to analyze large text datasets, measure customer satisfaction, and detect trends. Gain actionable customer insights at a scale that is impossible to achieve manually, enabling data-driven product enhancements and a stronger brand perception.