This n8n workflow automates the process of monitoring RSS feeds, extracting relevant news content, and conducting sentiment analysis on public opinions regarding synthetic research spending. Starting with scheduled RSS feed reading, it filters and deduplicates news items based on age, extracts and cleans article content, then uses OpenAI-powered Rally API to simulate public interest responses. The workflow evaluates the results to determine if a strong pro- or contra-narrative exists and sends detailed email alerts to stakeholders. This automation is ideal for media monitoring, research organizations, or marketing teams aiming to gauge public sentiment on trending topics efficiently.
Automated RSS Monitoring and Sentiment Analysis Workflow
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | code, gmail, httpRequest, rssFeedRead, scheduleTrigger, stickyNote |
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