SUMMARY — Sentiment Analysis

Understanding Sentiment Analysis in the Canadian Civic Context

Sentiment analysis, a subset of natural language processing (NLP), involves using computational tools to identify and categorize subjective information in text, such as opinions, emotions, or attitudes. In the Canadian civic context, this technology is increasingly applied to gauge public sentiment on policy issues, track discourse in online forums, and inform decision-making processes.