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README.md

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# <img src="./text-mining.png" width="50" height="50"/> Text Analysis
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## Description
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Conducted sentiment analysis and data visualization on YouTube comments using the TextBlob library,
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uncovering insights on audience engagement,
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emoji usage, and video performance metrics.
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Implemented linear regression models to explore correlations between views, likes, video titles, and audience engagement.
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## Screenshots
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<img src="./screenshots/y1.PNG" width="98%"/>
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<p float="left">
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<img src="./screenshots/y2-1.PNG" width="49%"/>
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<img src="./screenshots/y2-2.PNG" width="49%"/>
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</p>
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<p float="left">
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<img src="./screenshots/y3.PNG" width="49%"/>
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<img src="./screenshots/y4.PNG" width="49%"/>
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</p>
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<p float="left">
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<img src="./screenshots/y5.PNG" width="49%"/>
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<img src="./screenshots/y6.PNG" width="49%"/>
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</p>
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<img src="./screenshots/y7.PNG" width="98%"/>
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## Tech Stack
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![Python Badge](https://img.shields.io/badge/Python-3776AB?logo=python&logoColor=fff&style=for-the-badge)
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![pandas Badge](https://img.shields.io/badge/pandas-150458?logo=pandas&logoColor=fff&style=for-the-badge)
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![Plotly Badge](https://img.shields.io/badge/Plotly-3F4F75?logo=plotly&logoColor=fff&style=for-the-badge)
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![NumPy Badge](https://img.shields.io/badge/NumPy-013243?logo=numpy&logoColor=fff&style=for-the-badge)
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![Jupyter Badge](https://img.shields.io/badge/Jupyter-F37626?logo=jupyter&logoColor=fff&style=for-the-badge)
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![Juniper Networks Badge](https://img.shields.io/badge/Juniper%20Networks-84B135?logo=junipernetworks&logoColor=fff&style=for-the-badge)
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text-mining.png

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