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.

Repository from Github https://github.comAryanBalaji/TextAnalysisRepository from Github https://github.comAryanBalaji/TextAnalysis

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 pandas Badge Plotly Badge NumPy Badge Jupyter Badge Juniper Networks Badge

About

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.


Languages

Language:Jupyter Notebook 100.0%