Sentiment analysis is a natural language processing (NLP) technique that detects and interprets the emotional tone behind written content. It classifies text as positive, negative, or neutral, and in more advanced cases, it can detect specific emotions like joy, anger, or frustration. This helps businesses and platforms understand how users feel about products, services, or content.
In the context of SearchRovr, sentiment analysis can be applied to user search queries, feedback, or support messages to identify trends in user satisfaction, highlight points of friction, and improve the relevance and tone of search results. For example, consistently negative sentiment in certain queries could signal gaps in content or user frustration with the site experience.