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In this project, the model is predicting the most appropriate emoji according to a given sentence using Deep Learning Models. πŸ€–

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Emogify πŸ˜žβš½πŸ˜‡ 🍜❀️

we have always struggled to make our text messages more expressive !! such as we text "Let's play football!" and search for the most appropriate emoji to this sentence.

So rather than searching the most appropriate emoji to your sentence "Let's play football" this model can automatically turn this into "Let's play football⚽"

emoji

Datasets

Datasets consisting of different sentences along with the labels. Labels represent a particular emoji representing the sentence.πŸ˜žβš½πŸ˜‡ 🍜❀️

  • test_emoji.csv - for testing our model with shape (315, 4)
  • train_emoji.csv - for training our model with shape (56, 2)

Downloading Link-> Datasets Link

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GloVe: Global Vectors for Word Representation
-This Project contains English word vectors pre-trained on the combined Wikipedia 2014 + Gigaword
5th Edition corpora (6B tokens, 400K vocab). All tokens are in lowercase. This dataset
contains 50-dimensional, pre trained word vectors.

Downloading Link-> glove.6B.50D.txt


Algorithm

Model
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LSTM
WorkingOfLSTM

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Result πŸŽ†

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Resources πŸ’πŸ»β€β™‚οΈπŸ’

Keras Sequential model
Understanding LSTM Networks
Guide to LSTM’s

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In this project, the model is predicting the most appropriate emoji according to a given sentence using Deep Learning Models. πŸ€–

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