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Youtube-Text-Analysis

Youtube is the second most visited page in the world with approximately 1 billion hours of content is watched per day. This means that Youtube attracts 48% of all internet users. So Youtube generates a large amount of data and these data are going to be analyzed in this project.

First of all, the sentiment analysis of the text is going to be performed. Then the graphical representation of those sentiment using wordcloud. Finally, we'll analyze the trending tag from a youtube video and explore the relationships between views and likes/dislikes.

get the GBComment csv file with this link https://drive.google.com/file/d/1g0IcnGwwQ5mltcJkzQh7klCDO-Um31gc/view?usp=sharing

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Youtube is the second most visited page in the world with approximately 1 billion hours of content is watched per day. This means that Youtube attracts 48% of all internet users. So Youtube generates a large amount of data and these data are going to be analyzed in this project. First of all, the sentiment analysis on the Youtube text is going t…

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