TEAM : BENCH ODYSSEY TEAM NO: 23

• PES2UG21CS148 Choppa Rasagnya
• PES2UG21CS158 Deepika Indran
• PES2UG21CS160 Devansh Guttikonda

Most popular Indian Youtube videos from June to November 2023 were scraped using Youtube's API and the following were the attributes obtained-

• Video_id
• Title
• PublishedAt
• ChannelId
• ChannelTitle
• Trending_Date
• Tags
• View Count
• Likes
• Comment Count
• Thumbnail_Link etc

The following features was used to predict the likes -

• view_count
• comment_count
• Sentiment_Scores
• time_till_trend
• Subscriber_Count

The model which we used was the XGBoost (Extreme Gradient Boosting). XGBoost is an ensemble learning technique that combines multiple decision trees to improve predictive performance.

• RMSE: 110538.93938925382
• R-squared value: 0.9597375701889096
• MAE: 31216.7363869918
• MSE: 12218857121.30113

1. git clone TDL_PROJECT_CODE_Team23.ipynb

Predictions need to be periodically re-evaluated as the analysis isn't based on real-time data.

• Market Analysis: Analyze trends in video popularity, viewership, and engagement to understand audience preferences and behavior in the Indian market.

• Thumbnail Analysis: Identify the influence of a thumbnail of a video and how it performs using CNN’s and other Deep learning techniques.

• Sentiment Analysis: Utilize comments data to gauge audience sentiment towards specific topics or creators, aiding in reputation management and content optimization strategies.