Sentiment Analysis leveraging BERT power – With the arrival of BERT in 2018, NLP research has taken a significant step forward. However, the necessary computing power has grown accordingly.
Various distillation and optimization systems have been adopted but are costly in terms of cost-benefit ratio. The most important improvements are obtained by creating increasingly complex models with more layers and parameters.
In this research, we will see how, by mixing transfer learning, zero-shot learning, and ONNX runtime, we can access the power of BERT right now, optimizing time and resources, achieving noticeable results on day one.
