Using NLP and ML algorithm to predict the Airline Twitter Sentiment
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Updated
Jun 17, 2021 - Jupyter Notebook
Using NLP and ML algorithm to predict the Airline Twitter Sentiment
In this project i read a large Tweet dataset and clean each tweet then use Stemming and using bag of words model, feed each tweet to single layer neural network for classification.
Tweet sentiment extraction on kaggle
Text classifiers based on Naïve Bayes and Logistic Regression classification algorithms to process raw tweets and determine whether they carry a positive or negative sentiment.
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