Home

Welcome to the Fine-Tuning-BERT-For-Sentiment-Analysis-Served-With-fastAPI wiki!

The project is inspired from the wide range of the BERT and it's phenomenal performance toward natural language processing and getting some insights from Human Interaction Language: English.

The latest research on the natural language processing has taken the ability of Machines to understand and interpret the natural language to next level. The language module built in this project is to classify the polarity of sentences i.e. whether the sentence is either positive, negative or neutral based in the structure of the words used in the sentences.

This really helps in customer review analysis and getting the sense of review from the end users and modify the business model accordingly.

The details in BERT and other latest language models like GPT-3 can be read over here