Customer Feedback Sentiment Analyzer Based on Excel
An intelligent Excel solution that automates sentiment analysis of large-scale customer feedback using ChatGPT APIs.
Business Challenge
The client, a consumer electronics company, was receiving thousands of customer feedback entries across various product categories like microwaves, laptops, and more.
The existing process of manual analysis was time-consuming, inconsistent, and lacked scalability, making it difficult to extract timely insights.
They needed a user-friendly, Excel-based solution that could perform real-time sentiment analysis and deliver actionable insights across product categories.
Approach & Solution
We developed a VBA-powered Excel model that connects to the Chat GPT API using a secure endpoint and API key.
The system automatically processes each feedback entry and returns sentiment classification along with descriptive labels.
Automated Sentiment Analysis: Each feedback is sent as a prompt to the Chat GPT API, which returns the sentiment (Positive/Negative/Neutral) and a summary label.
Excel-Based Dashboard: Data is aggregated and visualized in an interactive dashboard showing positive vs. negative percentages, frequent labels, and category-wise insights.
Category-Level Reporting: Sentiment analysis is done per product category, as well as overall for a holistic view.
Seamless API Integration: Built-in VBA handles data refresh, API communication, and prompt generation automatically.
Impact
Increased Efficiency: Automated sentiment tagging replaced manual review efforts, saving hours of labor.
Deeper Insights: Real-time labeling and summarization of feedback enabled faster strategic decision-making.
Ease of Use: The familiar Excel environment ensured quick adoption without additional training or software costs.
Scalability: The model can easily scale with growing volumes of feedback across new product lines or markets.