Skip to content

🎬 Analyze IMDb movie reviews for sentiment using classical and deep learning models, uncovering insights through a comprehensive data science workflow.

License

Notifications You must be signed in to change notification settings

El-Alexander/nlp-sentiment-analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

4 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

πŸ“Š nlp-sentiment-analysis - Analyze Sentiment Easily

πŸ“₯ Download Now

Download

πŸ“– Overview

nlp-sentiment-analysis helps you understand movie reviews by using advanced techniques. This application compares two methods: classical Machine Learning (TF-IDF) and Deep Learning (LSTM). It analyzes sentiment from the IMDb dataset, providing insights into how people feel about different films.

πŸš€ Getting Started

This guide will help you download and run the nlp-sentiment-analysis application, even if you have no programming experience.

🌟 Features

  • Simple installation process
  • User-friendly interface
  • Supports both classical and deep learning methods
  • Works with the IMDb dataset for sentiment analysis
  • Visual representation of results

πŸ“‹ Requirements

  • Operating System: Windows 10 or higher, macOS, or Linux
  • RAM: Minimum 4GB
  • Storage: At least 1GB of free space
  • Python version: 3.6 or higher

πŸ“₯ Download & Install

To get started, visit the Releases Page to download the application. Follow these steps to install:

  1. Click the link above to open the releases page.
  2. Find the latest version (v1.0 or above).
  3. Download the appropriate file for your operating system.
  4. Locate the downloaded file on your computer.
  5. Double-click the file to start the installation process.

βš™οΈ Installation Steps

  1. Follow the prompts in the setup wizard.
  2. Choose the installation directory, or use the default setting.
  3. Click "Install" and wait for the installation to complete.
  4. Open the application once installation is finished.

✨ How to Use

  1. Launch the nlp-sentiment-analysis application from your desktop or start menu.
  2. Choose a movie review file in .txt format to analyze.
  3. Select the analysis method: either TF-IDF for classical machine learning or LSTM for deep learning.
  4. Click β€œAnalyze” to see the results. The application will show whether the review is positive, negative, or neutral.

πŸ“Š Understanding Results

After analysis, the application will display results in a clear format:

  • Sentiment Score: A number representing the sentiment of the review.
  • Visualization: A graph showing the distribution of sentiments for easy understanding.

πŸ›  Troubleshooting

If you encounter issues, consider the following solutions:

  • Ensure you have the required operating system and enough RAM.
  • Check that you have Python installed correctly.
  • Verify that the downloaded file is not corrupted.

For further assistance, you can visit the Issues Section of the repository for help.

🌐 Additional Resources

πŸ’Œ Feedback

Your feedback is valuable! Please share your thoughts and suggestions through the Discussion Page.

Thank you for choosing nlp-sentiment-analysis! We hope it enhances your understanding of sentiment analysis.

About

🎬 Analyze IMDb movie reviews for sentiment using classical and deep learning models, uncovering insights through a comprehensive data science workflow.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •