Python
Data Science
2023
ID: 1CP0710
YouTube Data Analysis and Prediction of Views, Comments & Channel using Flask
Keywords:
YouTube
Data
Analysis,
YouTube
Data
API,
Flask
Framework,
Sentiment
Analysis,
NLTK,
Plotly,
Channel
Comparison,
Python
Project Synopsis & Overview
This project analyzes YouTube data and compares channels using the YouTube Data API and a Flask web application in Python. Video details, views, likes, and comments are fetched by video ID, and NLTK sentiment analysis classifies comments as positive or negative. Plotly visualizations show comment ranges, video performance, and channel comparisons, helping creators understand audience engagement and predict content performance.
Complete Technical Specifications
| Project ID | 1CP0710 (DB ID: 710) |
| Project Title | YouTube Data Analysis and Prediction of Views, Comments & Channel using Flask |
| Domain Division | Python |
| Sub-Domain / Tech | Data Science |
| IEEE Year | 2023 |
| Package Price | ₹6500 |
| Created Date | Nov 13, 2026 |
Project Price
₹6500
₹8000
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100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
1-on-1 AnyDesk/Zoom Live Setup Support
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