This repository contains the code for the project for CMPT 713 at Simon Fraser University. To read the project report, please
see report.pdf
. For code documentation, please see project.ipynb
that contains details on the prerequisites for
running this repository and the structure of this repository. To reproduce the figures and results in report.pdf
please first read project.ipynb
so that you understand the structure of this repository, then see
output.ipynb
that contains detailed instructions and code for reproducing the results.
This repository contains several surface level scripts that are:
download_models.py
- This script is used in bothproject.ipynb
andoutput.ipynb
and downloads the trained models for this project from Google Drive.download_output.py
- This script is used in bothproject.ipynb
andoutput.ipynb
and downloads the data and results for this project from Google Drive.zip_output.py
- This script zips the data and results for this project so that users can download it at a later date.project.ipynb
- Documentation on the prerequisites and structure of this repository.output.ipynb
- Documentation and code to reproduce the results shown inreport.pdf
.chrome-extension
- The documentation and code demonstrate the usage of a BERT model to perform real-time sentiment analysis through a Chrome extension.