Deep Emoji

Express your words with the power of Emoji.
Using a deep LSTM network the model associates an english input sentence with an emoji.

GLoVe was used in the model since the dataset on which it was trained on was very very small with only 5 emoji.

Here is a snapshot.

Model Predictions

Output on User input

GLoVe file “glove.6B.50d” can be downloaded from https://nlp.stanford.edu/projects/glove/

Credits

1. This project is based on the assignment from Sequence Models Specialization by Deeplearning.ai on Coursera. https://www.coursera.org/learn/nlp-sequence-models/home/welcome.
2. Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014. GloVe: Global Vectors for Word Representation. pdf bib