This project focuses on utilizing a combination of Tkinter for GUI development and Tableauf for data visualization to do sentiment analysis on thread this http URL main goal is to evaluate and visualize consumer sentiments as they are expressed in thread reviews in order to provide insights into areas for improvement, preferences, and customer this http URL procedure starts with gathering thread reviews from many sources, which are then cleaned and prepared for analysis through this http URL analysis classifies opinions as good, negative, or neutral based on the expressed sentiment by applying natural language processing this http URL standard Python GUI package Tkinter is used to create an interactive user interface that allows users to enter thread reviews, start the sentiment analysis process, and see the analysis's this http URL the help of the user-friendly GUI, users may interact with the system and acquire insightful information with this http URL, Tableau is used to produce a dynamic and eye-catching dashboard that displays the findings of the sentiment analysis using a variety of charts and this http URL may make educated decisions based on the studied data by using the dashboard, which provides a thorough overview of the sentiment distribution, frequency of positive and negative reviews, trending topics, and other pertinent this http URL, this project offers a solid method for analyzing and comprehending customers' sentiments from thread reviews by integrating Tableauf for GUI development with Tkinter for sentiment analysis and data visualization. This allows for the creation of meaningful dashboards.