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This repository consists of a Jupiter notebook showing the experiments conducted to create an RNN LSTM Model. Also, it shows the prediction done on the collected data from Twitter.

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FabioPalliparambil98/Pre-Processing-and-Sentiment-Predictions-Using-Python

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Pre-Processing-and-Sentiment-Predictions

This repository consists of a Jupiter notebook showing the experiments conducted to create an RNN LSTM Model. Also, it shows the prediction done on the collected data from Twitter.

Different files and their purpose:

  • SentimentExpiriment.ipynb: The experiment conducted to create an Recurrent Neural Network model with hyperparameter tuning.

  • predicting_sentiment_on_generalcovid19_tweets: The folder contains the prediction done on the general COVID-19 tweets collected from Twitter.

  • predicting_sentiment_on_covid19vaccination_tweets: The folder contains the prediction done on the COVID-19 vaccination tweets collected from Twitter.

  • predicting_sentiment_on_covid19restriction_tweets: The folder contains the prediction done on the COVID-19 restriction tweets collected from Twitter.

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This repository consists of a Jupiter notebook showing the experiments conducted to create an RNN LSTM Model. Also, it shows the prediction done on the collected data from Twitter.

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