  This project focuses on utilizing a combination of Tkinter for GUI
development and Tableauf for data visualization to do sentiment analysis on
thread reviews.The 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 satisfaction.The procedure starts
with gathering thread reviews from many sources, which are then cleaned and
prepared for analysis through preprocessing.Sentiment analysis classifies
opinions as good, negative, or neutral based on the expressed sentiment by
applying natural language processing techniques.The 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 outcomes.With the help of the user-friendly GUI, users may interact
with the system and acquire insightful information with ease.Additionally,
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
graphs.Stakeholders 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 indicators.Overall, 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.
