YouTube Comments Sentiment Analysis Using BERT
Overview
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.
Getting Started
Follow these steps to get the project up and running on your local machine.
Prerequisites
Python 3. x
Google Developer API Key
TensorFlow or PyTorch (choose based on your preference)
Model Details
The sentiment analysis model is based on BERT, a powerful transformer-based language model.
API for YT Comments
I am using Google API to fetch the comments of a specific YouTube Video.
Acknowledgments
The BERT model implementation is based on the Hugging Face Transformers library.
