Applying state of the art language model BERT and RoBERTa to solve NLP classification problem

Classifying the positive reviews and the negative ones can be useful for several purposes such

as giving an overall rating for the film or making statistical analysis about the preferences of

people from different countries, age levels, etc... So Movie Review dataset is released which

composed of 50k reviews labeled as positive or negative to enable training movie reviews classifiers. Moreover, NLP tasks are currently solved based on pretrained language models such

as BERT and RoBERTa. These models provide a deep understanding of both semantic and

contextual aspects of language words, sentences or even large paragraphs due to their training

on huge corpus for very long time. you will train BERT and RoBERTa based classifier for

movie reviews