Sentiment analysis gives insights into the general feeling of your users by analyzing their comments on news posts. These insights help communicators understand their audience and respond meaningfully.
Communicators often monitor sentiments by:
- manually going through every news post comments
- responding when someone reports a negative comment
These approaches can be time-consuming and often result in negative sentiments going unnoticed. The Staffbase Power Automate Sentiment Analysis templates allow communication managers to easily analyze the sentiments in Staffbase news posts and comments.
The Sentiment Analysis templates provide the following flows:
- Sentiment Analysis for posts: Use this flow to monitor your social wall and gauge the sentiments in news posts.
- Sentiment Analysis for comments: Use this flow to moderate the comments in your news posts.
Using Azure Cognitive Services for language, the workflows analyze both text and emojis in posts and comments. This helps ease communication managers' workload. You can set up a workflow to automatically detect negative sentiments in posts or comments once or multiple times throughout the day. On negative sentiment detection, communication managers receive an email notification with a link to the related news post or comment.