The folder data contains the raw data from the two sources :
- WASSA Data
- CROWDFLOWER Data
The embeddings needs to be downloaded manually. The downloaded file needs to be stored in a directory called embeddings inside the Jupyter directory.
The embeddings can be downloaded from the link : https://nlp.stanford.edu/projects/glove/
Jupyter directory contains the source code to run the directory
For respective dataset, the file name is prefixed with the dataset name. For example, LSTM architecture on WASSA dataset can be found in WASSA - LSTM
The pre-trained models were trained on COLAB.
The trained models are stored in the directory Jupyter/model
To view the video presentation, click on the link below.