tal-shani/nlp2022

Final Project as part of NLP2022 course

NLP2022

Final Project as part of NLP2022 course

Repo contents

This repo contains:

• Raw @yairlapid tweets (in dataset/yairlapid_tweets.csv).
• Cleaned tweets + simple augmentation dataset (dataset/cleaned_yairlapid_tweets.csv).
• Cleaned tweets + simple augmentation + back-translation dataset (dataset/cleaned_translated_yairlapid_tweets.csv).
• Augmentation Jupyter Notebook (YairLapid Tweets Augmentation.ipynb).
• Full paper (paper/YairLafeed.pdf)

Dataset information

• Dataset was retrieved from @yairlapid twitter's feed, using Twitter API.
• Data should be read using Python's csv package.

Colab Notebook

The colab notebook we worked on can be found here.

Raw link if needed:

https://colab.research.google.com/drive/1234vhtAy9fssJGdmzDuNCPr1ZXnQRbWu?usp=sharing

How to run the code

You can simply run the code in Jupyter notebook and Colab.