Building embeddings of a Rotton Tomate Reviews dataset using Deep Learning techniques. This is a college assignment, so we have focused on delivering a simple and efficient solution.
Colab link: https://colab.research.google.com/drive/19G1bNqIU-RI91aVJTwwvuJO1rguvzSxU?authuser=1#scrollTo=51awLGGqVNgC
Trello link: https://trello.com/b/KjJ2FKlz/aml-3304-software-tools-and-emerging-technologies-for-ai-ml
Slack link: https://w2024lcteamwano.slack.com/ssb/redirect
Before setting up the application, ensure that you have the following requirements installed on your system:
- Python (version 3.6 or higher)
- pip (Python package installer)
- Clone the repository to your local machine.
git clone git@github.com:sunilrai486/embedding.git- Navigate to the project directory.
cd Embedding- Run the Python Notebook.
Use the package manager [pip](https://pip.pypa.io/en/stable/) to install the Python package.
You can open the notebook and run it in your VS Code or Jupyter Notebook or upload it to Google Colab.
a. For local use:
Please download and place the rotten_tomatoes_movies.csv file inside "/content/drive/MyDrive/" from the working directory of the notebook.
b. For Google Colab
If you are using Google Colab, please upload rotten_tomatoes_movies.csv to Google Drive.This concludes the setup readme for this application. If you encounter any issues during setup or usage, please don't hesitate to contact the project maintainer for help.