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Objective : To perform Text Classification on Movies Review Dataset and Classify Review as Positive or Negative Sentiment.
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Dataset : Large Movie Review Dataset From Stanford
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Methodology: Using a pretrained BERT transformers model and fine-tune it on a classification task.
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Implementation Framework: PyTorch
- For this Text Classification task we are using wellknown Large Movie Datset from Stanford.
- This is a dataset for binary sentiment classification containing a set of 25,000 highly polar movie reviews for training, and 25,000 for testing.
- There is additional unlabeled data for use as well. Raw text and already processed bag of words formats are provided.
