Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning
This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. We will be implementing and comparing both a Naïve Bayes and a Deep Learning LSTM model.
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Also you may download zip file with Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning https://github.com/JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning/archive/master.zip
Or simply clone Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning with SSH
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You may open issue on Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning support forum (system) here: https://github.com/JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning/issuesSimilar to Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning repositories
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