Customer sentiment analysis with ChatGPT

Step 1: Collect customer feedback data

First, we need to gather customer reviews and ratings for our product. We can do this in a number of ways:

1. Google Reviews: Go to your Google My Business page and copy the reviews customers have left.
2. Product Reviews: Copy reviews from your website's product pages.
3. Customer Service Emails: Gather recent emails from customers about their experiences.
4. Social Media Comments: Collect comments from your Facebook or Instagram posts.

Now, let's use ChatGPT to organize our data into a CSV file. We'll prompt ChatGPT with:

I have 30 customer reviews for [your business here]. Can you create a CSV file with four columns: Review Text, Sentiment (Positive, Negative, or Neutral), Rating (if available, on a scale of 1-5), and Comments (a brief explanation of the sentiment categorization)?

Display the output as CSV.

Step 2: Identify key themes and topics

Before we dive into sentiment analysis, it's helpful to identify the main themes and topics in our reviews. This will give us a better understanding of what aspects of Tasty Bites customers are talking about most frequently.

Let's ask ChatGPT to help us identify these themes:

Based on the reviews in the CSV file for Tasty Bites, can you identify the top 5 most frequently mentioned themes or topics?
Please provide a brief explanation for each theme.

This step helps us focus our analysis on the aspects of Tasty Bites that matter most to our customers.

Step 3: Conduct sentiment analysis

Now that we have our organized data with initial sentiment categorizations, let's use ChatGPT to perform a detailed sentiment analysis.

Prompt ChatGPT with:

From the CSV file we created earlier, please conduct a detailed sentiment analysis based on reviews.

Please provide a summary of your findings, including the most positively and negatively rated aspects, and any notable trends.

Step 4: Visualize the results

To get a clearer picture of our detailed sentiment analysis, let's ask ChatGPT to create visual representations of the results.

Prompt ChatGPT with:

Based on the detailed sentiment analysis you performed, please create the following visualizations:

1. A bar chart showing the average sentiment score for each identified aspect
2. A pie chart showing the distribution of positive, negative, and neutral sentiments

Please describe each visualization and any insights we can draw from them.

Step 5: Generate actionable insights

Now that we have a comprehensive analysis of customer sentiments, let's ask ChatGPT to generate actionable insights for Tasty Bites.

Prompt:

Based on the detailed sentiment analysis and visualizations, provide:

1. Top 3 areas of strength that Tasty Bites should maintain or further improve
2. Top 3 areas that need immediate attention and improvement
3. 5 specific, actionable recommendations to enhance customer satisfaction
4. Any potential opportunities for new features or services based on customer feedback

Please prioritize these insights based on their potential impact on overall customer satisfaction.

Step 6: Continuous monitoring

To keep things improving, we need to monitor customer sentiments over time. Let's refine our monitoring system based on the insights we've gained:

Given the detailed sentiment analysis we've conducted, please suggest a comprehensive and brief monthly monitoring plan. Include:

1. Key metrics to track based on our analysis
2. A process for collecting and analyzing new reviews
3. How to compare new data with historical trend.

Please ensure the plan is practical and can be implemented with our current resources.

Through this tutorial, you've learned how to use ChatGPT to conduct a comprehensive sentiment analysis for Tasty Bites. We've moved from basic data organization to detailed analysis, visualization, and actionable insights.
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This tutorial was created by Tanmay.