Automate Twitter Sentiment Analysis and Slack Notifications

This powerful n8n workflow revolutionizes how you track conversations and sentiment around your brand or specific topics on Twitter. It begins by scheduled retrieval of up to three tweets containing the '#OnThisDay' hashtag using the Twitter node. These tweets are then stored in a MongoDB database for safekeeping and future analysis. The workflow seamlessly integrates with Google Cloud Natural Language to determine the sentiment score and magnitude of each tweet. Subsequently, this sentiment data is formatted using a 'Set' node and stored in a PostgreSQL database for robust data management. An 'IF' condition then checks the sentiment score, triggering a Slack notification only if the sentiment is positive. This ensures you're alerted to positive mentions and can quickly engage with your audience or address any concerns.