In this project, I build a model based on RoBERTa base to classify the sentiment of a tweet as neutral, positive, or negative. I use PyTorch XLA and huggingface transformers to train the RoBERTa sentiment classification model. I use data from the Twitter Sentiment Extraction competition on Kaggle. The model classifies sentiment with 91% accuracy on the test data.
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A model based on RoBERTa base to classify the sentiment of a tweet as neutral, positive, or negative.
SriRangaTarun/Twitter-Sentiment-Classification
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A model based on RoBERTa base to classify the sentiment of a tweet as neutral, positive, or negative.
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