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Sentiment analytics visualizer

FranzFranz
2403 views
2/3/2026
Lead ManagementAutomationSalesforceCSVData Import
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🧠 Sentiment Analyzer

Google Sheets → OpenAI GPT-4o → QuickChart → Gmail

🚀 What this workflow does

  1. Fetches customer reviews from a Google Sheet.
  2. Classifies each review as Positive, Neutral or Negative with GPT-4o-mini.
  3. Writes the sentiment back to your sheet.
  4. Builds a doughnut chart summarising the totals.
  5. Emails the chart to your chosen recipient so the whole team stays in the loop.

Perfect for support teams, product managers or anyone who wants a zero-code mood ring for their users’ feedback.

🗺️ Node-by-node tour

| 🔩 Node | 💡 Purpose | | ------------------------------------------------------- | ---------------------------------------------------------- | | Manual Trigger | Lets you test the workflow on demand. | | Select Google Sheet | Points to the spreadsheet that holds your reviews. | | Loop Over Items | Feeds each row through the analysis routine. | | Sentiment Analysis (LangChain) | Calls GPT-4o-mini and returns only the sentiment category. | | Update Google Sheet | Writes the new Sentiment value into column C. | | Read Data from Google Sheet | Pulls the full sheet again to create a summary. | | Extract Number of Answers per Sentiment (Code node) | Tallies up how many reviews fall into each category. | | Generate QuickChart | Creates a doughnut (or pie) chart as a PNG. | | Send Gmail with Sentiment Chart | Fires the chart off to your inbox. | | (Sticky Notes) | Friendly setup tips scattered around the canvas. |

🛠️ Setup checklist

| ✅ Step | Where | | ------------------------------------------------------------------------------------- | -------------------------------- | | Connect Google Sheets → paste your Spreadsheet ID & choose the correct sheet. | All Google Sheets nodes | | Add OpenAI credentials (sk-… key). | Sentiment Analysis node | | Configure Gmail OAuth2 + recipient address. | Gmail node | | Match your sheet columns → “Review title”, “Review text”, empty “Sentiment”. | Google Sheet itself | | (Optional) Switch to gpt-4o for maximum accuracy. | Sentiment Analysis “Model” param |

🏃‍♂️ How to run

  1. Drop a few sample reviews into the sheet.
  2. Click “Test workflow” on the Manual Trigger.
  3. Watch each row march through → sentiment appears in column C.
  4. After all rows finish, check your inbox for a fresh chart. ✔️

✨ Ideas for next level

  • Schedule the trigger (Cron) to auto-process new reviews daily.
  • Feed the counts to Slack or Discord instead of email.
  • Add a second GPT call to generate a short summary for each review.

Happy automating! 🎉

Sentiment Analytics Visualizer

This n8n workflow automates the process of analyzing text sentiment from a Google Sheet, visualizing the results as a chart, and optionally sending the chart via Gmail. It's designed to help you quickly gain insights into the sentiment of your data without manual analysis.

What it does

This workflow performs the following steps:

  1. Triggers Manually: The workflow is initiated by a manual trigger, allowing you to run it on demand.
  2. Reads Data from Google Sheets: It connects to a specified Google Sheet to retrieve the text data that needs to be analyzed.
  3. Loops Over Items: The workflow processes the data from the Google Sheet in batches, ensuring efficient handling of large datasets.
  4. Analyzes Sentiment: For each text item, it uses an OpenAI Chat Model to perform sentiment analysis, determining whether the sentiment is positive, negative, or neutral.
  5. Generates Sentiment Summary: A Code node processes the sentiment analysis results to count the occurrences of positive, negative, and neutral sentiments.
  6. Creates a Chart: It uses QuickChart to generate a visual representation (e.g., a bar chart or pie chart) of the sentiment distribution.
  7. Sends Chart via Gmail (Optional): The generated chart can optionally be sent as an email attachment via Gmail.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Sheets Account: A Google Sheets account with a spreadsheet containing the text data you wish to analyze.
  • OpenAI API Key: An API key for OpenAI to power the sentiment analysis.
  • QuickChart Account/API Key: If you plan to use QuickChart's advanced features or higher limits, you might need an account or API key. For basic usage, it might work without one.
  • Gmail Account: A Gmail account if you intend to send the generated charts via email.

Setup/Usage

  1. Import the workflow: Download the JSON provided and import it into your n8n instance.
  2. Configure Credentials:
    • Google Sheets: Set up your Google Sheets credential to allow n8n to read from your spreadsheet.
    • OpenAI: Configure your OpenAI credential with your API key.
    • QuickChart: If required, set up your QuickChart credential.
    • Gmail: If using the Gmail node, configure your Gmail credential.
  3. Customize Google Sheets Node:
    • Specify the Spreadsheet ID and Sheet Name where your text data is located.
  4. Customize Sentiment Analysis Node:
    • Ensure the "Sentiment Analysis" node is configured to point to the correct field in your Google Sheet data that contains the text for analysis.
  5. Customize Code Node:
    • The "Code" node is responsible for summarizing the sentiment. Review its JavaScript code to ensure it correctly processes the output of the sentiment analysis node.
  6. Customize QuickChart Node:
    • Adjust the chart type, labels, and data points in the "QuickChart" node to visualize the sentiment summary as desired.
  7. Customize Gmail Node (Optional):
    • If sending emails, configure the recipient, subject, and body of the email. Ensure the chart output from QuickChart is attached.
  8. Execute the workflow: Click the "Execute workflow" button on the "Manual Trigger" node to run the workflow.

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