https://github.com/aryanbalaji/textanalysis

Conducted sentiment analysis and data visualization on YouTube comments using the TextBlob library, uncovering insights on audience engagement, emoji usage, and video performance metrics. Implemented linear regression models to explore correlations between views, likes, video titles, and audience engagement.
https://github.com/aryanbalaji/textanalysis

boxplot-visualization matplotlib-pyplot numpy-python pandas-dataframe plotly-python regplot seaborn-heatmaps seaborn-python textblob-sentiment-analysis wordcloud-visualization

Last synced: 2 months ago
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Conducted sentiment analysis and data visualization on YouTube comments using the TextBlob library, uncovering insights on audience engagement, emoji usage, and video performance metrics. Implemented linear regression models to explore correlations between views, likes, video titles, and audience engagement.

• Host: GitHub
• URL: https://github.com/aryanbalaji/textanalysis
• Owner: AryanBalaji
• Created: 2024-09-04T08:02:24.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-09-09T18:35:54.000Z (8 months ago)
• Last Synced: 2025-01-23T04:32:14.098Z (4 months ago)
• Topics: boxplot-visualization, matplotlib-pyplot, numpy-python, pandas-dataframe, plotly-python, regplot, seaborn-heatmaps, seaborn-python, textblob-sentiment-analysis, wordcloud-visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 1.26 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
#  Text Analysis

## Description

Conducted sentiment analysis and data visualization on YouTube comments using the TextBlob library,

uncovering insights on audience engagement,

emoji usage, and video performance metrics.

Implemented linear regression models to explore correlations between views, likes, video titles, and audience engagement.

## Screenshots

 



     

     





     

     





     

     



 


## Tech Stack

![Python Badge](https://img.shields.io/badge/Python-3776AB?logo=python&logoColor=fff&style=for-the-badge)

![pandas Badge](https://img.shields.io/badge/pandas-150458?logo=pandas&logoColor=fff&style=for-the-badge)

![Plotly Badge](https://img.shields.io/badge/Plotly-3F4F75?logo=plotly&logoColor=fff&style=for-the-badge)

![NumPy Badge](https://img.shields.io/badge/NumPy-013243?logo=numpy&logoColor=fff&style=for-the-badge)

![Jupyter Badge](https://img.shields.io/badge/Jupyter-F37626?logo=jupyter&logoColor=fff&style=for-the-badge)

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