Audio Feedback Segregator using Sentiment Analysis: Role of Computer in Music

Audio feedback segregation using sentiment analysis separates audio feedback based on the outlook articulated within the audio indication. Attitude investigation is an appliance information procedure that analyzes text or speech's exciting tendency. This approach can be used to segregate audio feedback based on whether it is optimistic, pessimistic, or impartial. The segregation process can help identify feedback valuable to businesses and organizations for improving the products or services. The sentiment analysis technique involves training a machine learning model on a dataset of labeled audio feedback to predict the sentiment of new audio feedback. The model can then automatically segregate feedback and store in one database based on the predicted sentiment.