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.
This guide will help you download and run the nlp-sentiment-analysis application, even if you have no programming experience.
- 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
- 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
To get started, visit the Releases Page to download the application. Follow these steps to install:
- Click the link above to open the releases page.
- Find the latest version (v1.0 or above).
- Download the appropriate file for your operating system.
- Locate the downloaded file on your computer.
- Double-click the file to start the installation process.
- Follow the prompts in the setup wizard.
- Choose the installation directory, or use the default setting.
- Click "Install" and wait for the installation to complete.
- Open the application once installation is finished.
- Launch the nlp-sentiment-analysis application from your desktop or start menu.
- Choose a movie review file in .txt format to analyze.
- Select the analysis method: either TF-IDF for classical machine learning or LSTM for deep learning.
- Click βAnalyzeβ to see the results. The application will show whether the review is positive, negative, or neutral.
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.
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.
- IMDb Dataset for reference
- Machine Learning Basics - a helpful course
- TensorFlow Documentation for more information on deep learning
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.