Implemented a paper on sarcasm detection as part of a project on Data Mining

Download 'glove.twitter.27B.200d.txt' for word2vec embedding and place it in the root directory of emotion detection and sentiment detection model.
And, run the final model_build file to compare the results. The other two .ipynb files are for data preprocessing. The processed data has also been uploaded.

For the sarcasm detection model, Download 'GoogleNews-vectors-negative300.bin' and place it in it's root directory. Also, download the dataset 'tweets-en.csv' from the given link - https://drive.google.com/file/d/1rODeW9x7MEovOONN7QtBKjJhxeQFNMxg/view?usp=sharing and place it in it's data folder. Run the models_notebook file to see results.