Sentiment-analysis-with-GUI

This repository is a college project that includes Logistic Regression, BERT, VADER, TextBlob, and SVM for sentiment analysis, along with a Graphical User Interface (GUI) for easy use. It provides a range of methods to explore sentiment analysis on various text data.

Usage

1. Open and run the Sentiment_analysis.ipynb file to:

   • Generate the models.
   • Explore the dataset.

2. The dataset used is [IMDB Dataset of 50K Movie Reviews]. You can find it at: [https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews].

3. Place the generated models into the Models/ folder.

4. Run the application:

   python3 main.py

GUI Screenshots

Here are some screenshots of the GUI in action: