Sarcasm detection is a particularly difficult task even for humans. This repository contains the implementation of a research paper by Ashwin Rajadesingan in python ML libraries.

• Don't forget to add a .gitignore with proper constraints. Minimally :- */*.pyc

• Name the files properly for everyone's understanding. e.g. If you are working on extracting the features present in article 5.5, name your file as feature_5_5.py.

• Only commit a working piece of code to the repo.

• Include a readme.txt in the working folder and specify the python dependencies associated with your piece of code for everyone's reference. Don't simply pip freeze.

• 😄

• normal_with_past and sarcastic_with_past contains raw data
• normal_with_past_PP and sarcastic_with_past_PP contain preprocessed data.