Emojify-using-word-vector-embeddings

The code is in Python3

Model Overview

• Inputs and outputs

  • The input of the model is a string corresponding to a sentence (e.g. "I love you).
  • The output will be a probability vector of shape (1,5), (there are 5 emojis to choose from).
  • The (1,5) probability vector is passed to an argmax layer, which extracts the index of the emoji with the highest probability.

We use pretrained 50-dimensional GloVe embeddings to convert each sentence into their word vector representations.

Note

It is advisable to download the pretrained 50-dimensional GloVe embeddings (download from ) and replace it with the glove.6B.50d.txt file in data directory.