Comment Feel - YouTube Comments Sentiment Analyzer Tool
0
ML Engineer
Software Engineer
AI Developer
Bert
Hugging Face
Streamlit
A streamlit application to analyse sentiment of a YOUTUBE VIDEO
Built a Streamlit app that analyzes YouTube comments using a BERT-based sentiment model. Users input a video URL to fetch comments and classify them as positive, negative, or neutral. Integrated Google API for comment extraction and used TensorFlow, Transformers, and Plotly for analysis and visualization. The app presents results via interactive pie and bar charts. Showcased expertise in NLP, API integrations, and data visualization.
How to use?
Run the Streamlit app as per the setup instructions.
Input a valid YouTube video URL in the provided text box.
Click on the "Extract Comments and Analyze" button to fetch comments and analyze their sentiment.
View the sentiment analysis results in the form of pie and bar charts.
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Posted Feb 13, 2025
This project analyzes the sentiment of comments from a YouTube video using a pre-trained sentiment analysis model based on BERT and TensorFlow.
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ML Engineer
Software Engineer
AI Developer
Bert
Hugging Face
Streamlit
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