This project focuses on sentiment analysis of YouTube comments using BERT (Bidirectional Encoder Representations from Transformers). The goal is to understand the sentiment expressed in user comments on YouTube videos, categorizing them as positive, negative, or neutral.

Follow these steps to get the project up and running on your local machine.

Python 3. x

Google Developer API Key

TensorFlow or PyTorch (choose based on your preference)

The sentiment analysis model is based on BERT, a powerful transformer-based language model.

I am using Google API to fetch the comments of a specific YouTube Video.

The BERT model implementation is based on the Hugging Face Transformers library.