Sentiment Analysis on User Feedback of a Social Media Platform

The paper proposes a methodology for implementing Sentiment Analysis on user feedback of a social media website named “DevelopersBay”. This study has performed a sentiment analysis of user feedback received on the website by using basic machine learning method and BERT model of deep learning. The process of sentiment analysis utilizes algorithms to evaluate the tone of feedback, indicating whether it is positive, negative, or neutral. This information is then used to enhance the quality of the services or products provided by the organization. In our research we found the deep learning method to be more accurate in determining the sentiment of the feedback received on the website. The results obtained from sentiment analysis help us improve our website to meet the needs of our users.