Labelling customer feedback or survey responses as positive or negative may sound simple\u2013until you actually have to do it. Manually reading through hundreds of comments, trying to judge tone, intent, and sentiment is not only slow, it\u2019s subjective and prone to error.<\/p>\n
With Sheetgo\u2019s AI Data Processor<\/strong>, automatic sentiment analysis becomes effortless. In seconds, you can automatically classify each comment in your spreadsheet as positive<\/strong>, negative<\/strong>, or neutral<\/strong> \u2014 no formulas, no manual work, just instant insights. Whether you’re handling product reviews, employee feedback, or customer support logs, this tool saves hours and adds clarity at scale.<\/p>\n Let’s walk through how to set it up and finally put all of that feedback to work.<\/p>[\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] The real challenge with feedback isn\u2019t collecting it, it\u2019s making sense of it. When you rely on manually reading comments to understand how people feel, you\u2019re not really working with your data \u2013 you\u2019re working with opinions. This approach is fundamentally broken for three reasons:<\/p>\n As a result, teams either skip the sentiment layer entirely \u2014 or invest hours of precious time trying to patch it together with guesswork and filters.<\/p>[\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] First, you\u2019ll need a Sheetgo account. It\u2019s free to get started, and the process takes less than a minute.<\/p>\n 1. >> Click here to sign up for Sheetgo.\u00a0<\/a><\/p>\n 2. Once you\u2019re signed in, you\u2019ll land on the main interface. From there, click the + Create workflow button and select Start from scratch<\/strong> to build your first automatic data enrichment workflow.<\/p>\n That\u2019s it. You\u2019re now ready to connect your data and tell Sheetgo what you want to achieve with the AI Data Processor.<\/p>[\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] Your support\/product team regularly collects user comments through forms, NPS surveys, or feature requests. You\u2019ve just launched a new feature, and your support team has collected hundreds of comments from a customer survey. You need to quickly understand the overall reaction without manually reading every single response.<\/p>\n The Goal:<\/strong> Perform automatic sentiment analysis to tag each piece of feedback as Positive<\/strong>, Negative<\/strong>, or Neutral<\/strong>, making it easier to evaluate user feedback.<\/p>\n The spreadsheet contains a list of customer feedback tickets, with each row providing a Ticket ID and the corresponding Customer Feedback comment.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/1.webp” alt=”Automatic Sentiment Analysis” title_text=”1″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 1. Start Your Workflow : In your Sheetgo dashboard, click the + Create workflow button and select Start from scratch.<\/p>\n 2. Click Select source. Choose Google Sheets and then find and select your spreadsheet named Customer Feedback<\/strong>. Make sure to select the tab containing the feedback and click Next.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/2.webp” title_text=”2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 3. Click the (+) button below your source connection to add the next step. From the menu that appears, select AI data processing.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/3.webp” title_text=”3″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 4. A configuration panel will appear. This is where you will give the AI its instructions. In the text box, paste the prompt specific to your goal. This is the most important step, as it tells the AI exactly what you want to achieve.<\/p>\n Analyze the text in the @Customer Feedback column. Create a new column called Sentiment and classify it as Positive<\/strong>, Negative<\/strong>, or Neutral<\/strong>.<\/p>\n<\/blockquote>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/4.webp” title_text=”4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 5. Click the (+) button again and select Google Sheets as the destination. You can either choose to create a new spreadsheet and give it the name, or name continue within the current spreadsheet and select a new tab. Once done, click Finish and Save<\/strong>.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/5.webp” title_text=”5″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 6. \u00a0Immediately after saving, you’ll see a screen indicating that the workflow is running. A message at the top will confirm the workflow’s progress.<\/span> In just a few moments, your new, organized data is ready. To view your results, you have two easy options:<\/p>\n Universities, students, and training institutions often collect feedback at the end of a course or semester, but going through hundreds of open-ended responses is time-consuming, and understanding the overall tone can be subjective. To Goal: To create an automation that classifies each student comment by sentiment \u2014 Positive<\/strong>, Negative<\/strong>, or Neutral<\/strong> \u2014 helping educators and administrators quickly identify what\u2019s working and where improvements are needed.<\/p>\n The spreadsheet displays student feedback, with each row listing a Course Code<\/b>, the Instructor<\/b>, and the specific Student Feedback<\/b> for that course.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/8.webp” title_text=”8″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 1. Start Your Workflow : In your Sheetgo dashboard, click the + Create workflow button and select Start from scratch.<\/p>\n 2. Click Select source. Choose Google Sheets and then find and select your spreadsheet named Student Feedback<\/strong>. Make sure to select the tab containing the feedback and click Next.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/9.webp” title_text=”9″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 3. Click the (+) button below your source connection to add the next step. From the menu that appears, select AI data processing.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/10.webp” title_text=”10″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 4. A configuration panel will appear. In the text box, you’ll give the AI its instructions. To get a general sentiment, paste the following prompt:<\/p>\n Read the text in the @Student Comment column. Create a new column called Sentiment<\/strong> and classify it as Positive<\/strong>, Negative<\/strong>, or Neutral<\/strong>.<\/p>\n<\/blockquote>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/11.webp” title_text=”11″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 5. Click the (+) button again and select Google Sheets as the destination. You can either choose to create a new spreadsheet and give it the name, or name continue within the current spreadsheet and select a new tab. Once done, click Finish and Save<\/strong>.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/12.webp” title_text=”12″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 6. \u00a0Immediately after saving, you’ll see a screen indicating that the workflow is running. A message at the top will confirm the workflow’s progress.<\/span> In just moments, your spreadsheet will be transformed \u2014 each comment or response will have a clear sentiment label beside it. No guesswork, no manual tagging, just fast, consistent classification ready for reporting or decision-making.To view your results, you have two easy options:<\/p>\n Your HR department manages an anonymous digital suggestion box to get an honest pulse on employee morale. The good news is that employees are using it. The bad news is that the volume of feedback is high, mixing multiple suggestions with potentially urgent complaints.<\/p>\n The Goal:<\/strong> To create an automation that classifies anonymous employee comments by sentiment \u2014 tagging each response as Positive<\/strong>, Negative<\/strong>, or Neutral<\/strong>, so HR teams can take action quickly and confidently.<\/p>\n The spreadsheet contains anonymous employee suggestions, with each row providing a Submission ID<\/strong> and the corresponding Employee Comment<\/strong>.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/15.webp” title_text=”15″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.<\/p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”4_4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 1. Start Your Workflow : In your Sheetgo dashboard, click the + Create workflow button and select Start from scratch.<\/p>\n 2. Click Select source. Choose Google Sheets and then find and select your spreadsheet named Anonymous Employee Suggestion Box<\/strong> . Make sure to select the tab containing the feedback and click Next.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/16.webp” title_text=”16″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 3. Click the (+) button below your source connection to add the next step. From the menu that appears, select AI data processing.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/17.webp” title_text=”17″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 4. A configuration panel will appear. This is where you will give the AI its instructions. In the text box, paste the prompt specific to your goal. This is the most important step, as it tells the AI exactly what you want to achieve. Paste the following prompt:<\/p>\n Analyze the @Employee Comment column. Create a new column called Sentiment and classify it as Positive<\/strong>, Negative<\/strong>, or Neutral<\/strong>.<\/p>\n<\/blockquote>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/18.webp” title_text=”18″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 5. Click the (+) button again and select Google Sheets as the destination. You can either choose to create a new spreadsheet and give it the name, or name continue within the current spreadsheet and select a new tab. Once done, click Finish and Save<\/strong>.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/19.webp” title_text=”19″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”] 6. \u00a0Immediately after saving, you’ll see a screen indicating that the workflow is running. A message at the top will confirm the workflow’s progress.<\/span> Your spreadsheet will instantly show how employees feel \u2014 each comment labeled as Positive<\/strong>, Negative<\/strong>, or Neutral<\/strong>. It\u2019s the fastest way to turn raw feedback into meaningful HR insight. To view your results, you have two easy options:<\/p>\n <\/p>\n Whether it’s customer feedback, employee input, or marketing responses, every comment carries emotion. But without sentiment analysis, those emotions stay buried in long text entries \u2014 hard to spot and harder to act on.<\/p>\n With Sheetgo\u2019s AI Data Processor, you can now uncover how people really feel \u2014 directly inside Google Sheets. No formulas, no guesswork, and no hours spent tagging rows manually.<\/p>\n From tagging hundreds of survey responses in seconds to scanning feedback for early warning signs, AI-powered sentiment analysis is a shortcut to better, faster decision-making.<\/p>\n You\u2019ve seen how easy it is to get started \u2014 now imagine what else you could do.<\/p>\n Check out Sheetgo AI\u2019s official documentation \u2013 https:\/\/support.sheetgo.com\/en\/articles\/11654581-using-the-ai-data-processor <\/a><\/p>\n If you\u2019ve ever stared at a messy spreadsheet wondering, if there were an easier way, this is it.<\/p>\nThe Guesswork of Gauging Customer Mood<\/h2>\n
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Sign up for Sheetgo <\/strong><\/h2>\n
Use Case 1: Automatic Sentiment Analysis on Customer Feedback<\/h3>\n
Sample Google Sheets file<\/h4>\n
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<\/span><\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/amzing1-1.webp” title_text=”amzing1″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]\n
Use Case 2: Automatic Sentiment Analysis on Student Feedback<\/h3>\n
Sample Google Sheet<\/h4>\n
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<\/span><\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/amzing-2.webp” title_text=”amzing 2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]\n
Use Case 3: Automatic Sentiment Analysis on Anonymous Employee Feedback<\/h3>\n
Sample Google Sheet<\/h4>\n
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<\/span><\/p>[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2025\/08\/Monosnap-Anonymous-Employee-Suggestion-Box-Sheetgo-2025-08-28-13-01-21.webp” title_text=”Monosnap Anonymous Employee Suggestion Box – Sheetgo 2025-08-28 13-01-21″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]\n
Conclusion: Automatic Sentiment Analysis with Sheetgo AI<\/h2>\n
Ready to Try It?<\/h3>\n