How do I use GenAI for creating structured data from unstructured customer feedback

Question

Can you tell me How do I use GenAI for creating structured data from unstructured customer feedback?

Answer 1

GenAI models like GPT can extract structured insights from unstructured feedback by classifying sentiment, identifying key themes, and summarizing responses. Fine-tuning or prompt engineering ensures accuracy.

Here is the code snippet you can refer to:

In the above code we are using the following key points:

• Text Classification: Categorizes feedback into predefined themes.
• Sentiment Analysis: Identifies positive, negative, or neutral responses.
• Named Entity Recognition: Extracts key aspects like product names or locations.
• Summarization: Converts long reviews into concise insights.
• Fine-tuning: Customizes models for domain-specific feedback.

Hence, by referring to above, you can use GenAI for creating structured data from unstructured customer feedback.