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GitHub / AHMEDSANA / Twitter-Sentiment-Analysis-using-RNN-LSTM

In this Project we will train our RNN model by giving it different tweets and then predict the sentiments of the tweets.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AHMEDSANA%2FTwitter-Sentiment-Analysis-using-RNN-LSTM

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Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 419 KB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: over 2 years ago
Pushed at: almost 2 years ago
Last synced at: almost 2 years ago

Topics: deep-neural-networks, glove-embeddings, kaggle-dataset, keras, natural-language-processing, nlp, python, recurrent-neural-networks, rnn, rnn-lstm, rnn-tensorflow, sentiment, sentiment-analysis, sentiment-classification, tensorflow, text-classification, text-sentiment-analysis, twitter, twitter-api, twitter-sentiment-analysis

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