🫂Community News Summaries
Purpose: This workflow aggregates and summarizes community discussions on platforms like Discord, Slack, and Telegram. It provides a concise report of the key topics and queries raised over a defined time period, allowing teams to stay informed without sifting through vast amounts of content.
Prerequisites:
Discord, Telegram, or Slack Loader Agents configured.
Topic Classification and Sentiment Agents set up to analyze content.
How it Works:
Loader Agents pull discussion data from Discord, Telegram, or Slack.
Topic Classification Agent categorizes conversations by topic.
The workflow generates a summary of key topics, sentiment, and questions raised.
Inputs:
Conversation data from community platforms.
Pre-defined timeframes for analysis.
Processing:
Data is categorized and analyzed to identify the most frequently discussed topics.
Sentiment Agent evaluates the tone of conversations.
Outputs:
A concise summary of key topics and sentiment over the specified period.
Usage: The team reviews the summary to get a high-level view of community activity and identify any pressing issues or common queries.
Example: The summary highlights that most discussions last week centered around API issues, with an overall positive sentiment toward recent updates.
Advanced Features:
Sentiment analysis and alerting for high-priority topics.
Troubleshooting:
Missing Topics: Adjust the Topic Classification Agent to ensure all discussions are categorized correctly.
Logs:
Summary reports and logs are available in the Community Platform Summary dashboard.
Related Workflows:
Sentiment Agent for deeper sentiment analysis.
Q&A Agent for automatically addressing frequently raised topics.
Last updated