BERT-Model

Sentiment Analysis implement by transformers (Using Pytorch)

Datasets:

• load_dataset-> imdb movie comments
• split into three parts: train, validation, test
• label def:
  • 0 for negative comment
  • 1 for positive comment

BERT MODEL

-> bert-base-uncased: 93%

Best Result of Test Accuracy

Test Accuracy = 0.93

Prediction Result for test data

Random Test for random sentence

Result was Correct, "This movie doesn't attract me" IS A negative comment.