Analyzing Social Media Data Using Sentiment Mining and Bigram Analysis for the Recommendation of YouTube Videos

In this work we combine sentiment analysis with graph theory to analyze user posts, likes/dislikes on a variety of social media provide recommendations for YouTube videos. We focus the topic climate change/global warming, which has caused much alarm and controversy over recent years. Our intention is recommend informative videos those seeking balanced viewpoint area key arguments/issues. To end Twitter data; Reddit comments posts; comments, view statistics The combination raw linking users their posts gives deeper insights into needs quest quality information. Sentiment provides likes dislikes, linkage patterns relationships between users, sentiment.