hotel_reviews_summarization_with_huggingface_transformers

Purpose of this project is to compare text summarization of T5 and Bart transformers.
76000+ reviews of hotels are used as a dataset for this project taken from here:

How to run?

In order to run this, you need anaconda installed on your machine with pytorch and huggingface transformers installed.

Below is the link for installation instructions for Huggingface Transformers:

You can run this project in Jupyter Notebook as I used Google Colaboratory.

There are some code differences as my paths are from Google Drive, so you can change them as required.

Rouge-l used as evaluation metric is being taken from this GitHub repository:

For this awesome implementation of Rouge-l, thanks to Pengcheng YIN

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.gitignore		.gitignore
LICENSE.md		LICENSE.md
Readme.md		Readme.md
__init__.py		__init__.py
bart_output.csv		bart_output.csv
hotel_reviews_summarization_with_huggingface_transformers.ipynb		hotel_reviews_summarization_with_huggingface_transformers.ipynb
pyrouge.py		pyrouge.py
reviews.csv		reviews.csv
t5_output.csv		t5_output.csv