Integrating TextBlob and VADER for Dynamic Sentiment Analysis: A GUI-Based Approach with Emotion Visualization and Confidence Assessment

Abstract

Abstract: This research presents a Graphical User Interface (GUI) application developed in Python using the Tkinter library for sentiment analysis. The GUI integrates two distinct sentiment analysis libraries, TextBlob and VADER, to provide a comprehensive analysis of text sentiment. Each library's sentiment analysis results are displayed along with confidence scores, allowing users to gauge the reliability of the analysis. Additionally, the GUI features a visual indicator in the form of a lamp that dynamically changes color based on the detected emotion (positive, negative, or neutral) inferred from the sentiment analysis results. Moreover, the GUI includes a combined sentiment score, calculated by averaging the sentiment scores obtained from both TextBlob and VADER, enhancing the overall accuracy and reliability of the sentiment analysis. This GUI provides users with an intuitive and interactive tool for analyzing text sentiment, with the ability to visualize emotions and assess sentiment confidence.