Automated Tweet Tone Analysis and Categorization
The National Film Board uses IBM Watson Tone Analyzer to automatically categorize tweets for display on its live website. This AI system analyzes the emotional tone and sentiment of tweets in real-time to help organize and present content appropriately. The system is used by Government of Canada employees who manage the NFB's online presence.
The tool processes incoming tweets to detect emotional undertones such as joy, sadness, anger, or confidence, then categorizes them accordingly. This helps ensure that displayed content matches the intended audience experience and brand voice.
This system operates on an ongoing basis as a continuous service. While the system performs automated tone analysis, it is important to understand that this involves processing of tweet content to extract emotional and tonal characteristics.