Twitter Monitoring Automation
This n8n workflow is designed to automate the collection, sentiment analysis, and response process for trending content. It uses the Apify API(https://apify.com/) to fetch trending data, performs sentiment analysis, and takes conditional actions based on the results. All outcomes are logged in a Google Sheet for record-keeping and future insights.
Main Use Cases:
- Monitor content mentioning specific users, hashtags, or account handler names on Twitter.
- Automatically perform sentiment analysis on the mentioned content.
- Send a custom message to Slack if the sentiment is negative.
- Store the content with sentiment and reply in a Google Sheet for record-keeping and future insights.
How It Works:
This workflow automates the collection, sentiment analysis, response, and logging process for content that mentions specific criteria. It operates in the following steps:
1. Content Collection
- The workflow runs at predefined intervals.
- Each run initiates a check on content mentioning specific users, hashtags, or account handler names via the Apify API.
2. Sentiment Analysis
- The content is analyzed for sentiment using natural language processing.
- The results are used to determine the sentiment of the content.
3. Response
- If the sentiment is negative, a custom message is sent to Slack.
4. Logging
- The content, sentiment, and reply are stored in a Google Sheet for record-keeping and future insights.
Automate Insights for Smarter Marketing Decisions:
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