Sentiment Analysis
Clarence AI automatically analyzes social media mentions and categorizes them by sentiment to help you understand public opinion in real time.
How sentiment is categorized
Each relevant mention is classified into one of three categories:
- Positive – supportive, appreciative, or complimentary content
- Negative – critical, angry, or concerning content
- Neutral – informational content that is neither clearly positive nor negative
These categories are typically presented in charts and summaries on the Analytics Dashboard.
Why sentiment matters
Sentiment analysis is more than a graph – it is a primary tool for gauging how the public feels about your organization, policies, or campaigns.
It helps you to:
- Identify the reaction to a new policy, announcement, or campaign
- Detect growing negative trends before they become a crisis
- Track whether your communications are shifting public opinion over time
Sentiment trends can change quickly during high‑profile events. During such periods, monitor this view frequently and coordinate with your AI Response Management and communications teams.
To focus on specific conversations, you can apply filters and generate reports as described in Filtering & Reporting.