This project was a part of my role as a Research Fellow at the World Research Union, Kuala Lumpur, Malaysia in which I evaluated the performance of ChatGPT in the sphere of customer service and satisfaction by analyzing the prompts gathered through an independent research via a Google Form. After recording the performance of the GPT model for every prompt, I enhanced its performance using techniques like Named Entity Recognition (NER), sentiment analysis, and intent recognition to capture the crucial data as well as the sentiments of the customers.
Unfortunately, the code cannot be made public due to the inclusion of sensitive and private data of the customers. I am committed to making sure that the people who trusted me with their responses are done justice by keeping their information safe and secure.