Readme- Emojifier

Brief Description-

• This makes our text messages more expressive by finding the most appropriate emoji to be used with a sentence. Here we are using pre-trained word embeddings to represent words and later feed it to LSTM to predict the appropriate emoji.

Methods Used-

• Word embeddings
• LSTM
• Dropout Regularization

Technologies Used-

• Python
• Keras
• Numpy
• Matplotlib

Getting Started-

• Just clone the entire repo and run the Jupyter Notebook.

Output-

• 
• Rest the output can be seen in Jupyter Notebook.