Abstract:
Social media now introduces new topics and discussions. More social media users discuss. User groups vary. User-posted positive and negative comments will be discussed. We proposed a system that categorizes users. Film, politics, etc.
After parsing social media data like user messages and network relationships, data mining can be applied to different communities. K-Means clustering was used. This system clusters social data messages to find communities. Our algorithm clusters better and groups user communities by activity. This app identifies viewers and commenters. This classifies users.
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