IMDb Sentiment Analysis

Description

IMDb Sentiment Analysis is a Python project that analyzes the sentiment of movie reviews from IMDb (Internet Movie Database). It utilizes natural language processing (NLP) techniques to classify the sentiment of movie reviews as positive or negative.

Installation

1. Clone the repository: https://github.com/dikshya-pahari/IMDB-Sentiment-Analysis/
2. Install the required dependencies: pip install -r requirements.txt
3. Run the IMDB_Sentiment_Analysis.ipynb
4. Follow the on-screen instructions to enter a movie review.
5. The sentiment analysis model will classify the review as positive or negative.

Data

The project utilizes the IMDb dataset, which can be obtained from kaggle. Ensure you have the necessary dataset files in the Dataset curation directory before running the script.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/add-new-feature).
3. Make your changes.
4. Commit your changes (git commit -am 'Add new feature').
5. Push to the branch (git push origin feature/add-new-feature).
6. Create a new pull request.

Contact

For any questions or feedback, feel free to reach out to [email protected].