Text Feedback Classification using Machine Learning Techniques
E. Elakiya, R. Kanagaraj, Tejus Paturu, S. Deepa Nivethika, R. Sujithra Kanmani · 2023
The popularity of online shopping has grown worldwide, making it an integral part of many people's lives. As customers are free to express their emotions online, online sales have become a significant source of revenue. This enables obtaining honest feedback for various products, helping to understand not only what is popular but also the overall consensus. To make sense of the large amounts of product feedback and gauge the public's response, it is important to understand the widely held sentiments. Machine learning models provide a solution to extract feedback from text. Random Forest classifier produces the highest accuracy of 88 percentage.