Real-Time Sentiment Analysis System Using the BERT Model

Abstract

Opinion mining or we can say the Sentimental analysis is a critical issue where a large amount of information related to public opinion is widely spread in the world. So, in this paper, we will try to understand the public opinion and decision-making process in real time for the given text data. This proposed system aims to develop a real-time sentiment analysis of text data from various sources, such as social media, news websites, etc. The system will involve several processes like data collection, data preprocessing, sentiment analysis using the BERT (Bidirectional Encoder Representation from Transformers) model, and real-time processing to find the sentiment trends and patterns. based on [4] we can say that the performance of the BERT model is highly accurate as compared to the other traditional models like Random Forest, KNN, and Decision Tree, etc. The result which is obtained using the BERT model shows the accuracy of the system.