https://github.com/shihjen/youtube_sentimentanalyzer

An application designed to provide detailed sentiment analysis on YouTube video comments.
https://github.com/shihjen/youtube_sentimentanalyzer

google-api-python-client pytube sentiment-analysis textblob wordcloud youtube-api-v3

Last synced: 11 months ago
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An application designed to provide detailed sentiment analysis on YouTube video comments.

• Host: GitHub
• URL: https://github.com/shihjen/youtube_sentimentanalyzer
• Owner: shihjen
• Created: 2024-07-04T07:55:10.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-22T01:59:35.000Z (almost 2 years ago)
• Last Synced: 2025-06-01T19:53:18.373Z (about 1 year ago)
• Topics: google-api-python-client, pytube, sentiment-analysis, textblob, wordcloud, youtube-api-v3
• Language: Python
• Homepage: https://shihjen-youtube-sentimentanalyzer-app-7ecszs.streamlit.app/
• Size: 854 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
## YouTube Sentiment Analyzer

The YouTube Sentiment Analyzer is a web application designed to provide detailed sentiment analysis of YouTube video comments. By leveraging the YouTube Data API and the TextBlob library, this tool allows users to:

- Extract Comments: Gather comments from any YouTube video by simply entering the video URL.

- Analyze Sentiment: Categorize comments into positive, negative, or neutral sentiments based on computed polarity scores.

- Visualize Data: Generate insightful visualizations including wordcloud, sentiment distributions, and polarity histograms.

### Application Output

![img1](img/img1.png)

Metadata of the YouTube video, including the title, published date, number of views and, number of comments.

![img2](img/img2.png)

Polarity histogram.

![img3](img/img3.png)

Positive, neutral, and negative sentiments.

![img4](img/img4.png)

Subjectivity histogram.

![img5](img/img5.png)

Keywords in the comments visualize via wordcloud.

⏩ Web Application